Package: cd2030.core 1.4.4

cd2030.core: Data Loading, Validation, and Reporting for Countdown 2030

cd2030.core is an R package for managing and validating data formatted according to Countdown 2030 standards. It provides tools for data loading, cleaning, and validation, detecting issues like missing values, inconsistencies, outliers, and ratio anomalies. The package ensures compliance with Countdown 2030 guidelines and generates standardized data quality reports, enabling users to focus on analysis and interpretation.

Authors:David Kariuki [aut, cre], Martin Mutua [aut], Peter Kaberia [aut], Godfrey Adero [aut], Rornald Muhumuza [aut], African Population and Health Research Center [cph, fnd]

cd2030.core_1.4.4.tar.gz
cd2030.core_1.4.4.zip(r-4.7-any)cd2030.core_1.4.4.zip(r-4.6-any)cd2030.core_1.4.4.zip(r-4.5-any)
cd2030.core_1.4.4.tgz(r-4.6-any)cd2030.core_1.4.4.tgz(r-4.5-any)
cd2030.core_1.4.4.tar.gz(r-4.7-any)cd2030.core_1.4.4.tar.gz(r-4.6-any)
cd2030.core_1.4.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cd2030.core/json (API)

# Install 'cd2030.core' in R:
install.packages('cd2030.core', repos = c('https://damurka.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/damurka/cd2030.core/issues

On CRAN:

Conda:

5.98 score 3 packages 359 exports 118 dependencies

Last updated from:c6ea74d66f (on main). Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK702
source / vignettesOK570
linux-releaseOK695
macos-releaseOK477
macos-oldrelOK374
windows-develOK449
windows-releaseOK589
windows-oldrelOK499
wasm-releaseOK519

Exports:add_mad_med_columnsadd_missing_columnadd_outlier5std_columnadjust_service_dataadjustment_changes_serveradjustment_changes_uiadjustment_evidenceadjustment_settings_checkadjustment_settings_defaultadjustment_settings_footnoteadjustment_settings_from_kadjustment_steps_usedapply_chart_optionsas_chart_optionsbayes_model_estimatesbayesian_page_serverbayesian_serverbayesian_uicache_definitioncache_manifestcalculate_average_reporting_ratecalculate_completeness_summarycalculate_coveragecalculate_derived_coveragecalculate_district_completeness_summarycalculate_district_outlier_summarycalculate_district_ratios_summarycalculate_district_reporting_ratecalculate_health_system_comparisoncalculate_health_system_metricscalculate_indicator_coveragecalculate_inequalitycalculate_outliers_summarycalculate_overall_scorecalculate_overall_score1calculate_ratios_and_adequacycalculate_ratios_servercalculate_ratios_summarycalculate_ratios_uicalculate_thresholdcd_admin_level_choicescd_admin_level_servercd_admin_level_uicd_admin_partscd_appcd_bayes_fit_taskcd_bayes_indicatorscd_bayes_install_commandcd_bayes_packages_missingcd_cfgcd_chart_catalogcd_chart_idcd_chart_optionscd_chart_typecd_chartable_memberscd_coverage_plot_servercd_coverage_plot_toolbar_uicd_coverage_plot_uicd_custom_chart_datacd_default_indicator_setcd_default_indicatorscd_denominator_chip_keyscd_denominator_choicescd_denominator_headercd_denominator_labelscd_denominator_optionscd_denominator_rowcd_denominator_servercd_denominator_uicd_describe_columnscd_dictionarycd_finish_plotcd_has_maternalcd_indicator_labelscd_indicator_servercd_indicator_uicd_member_datacd_methodology_defaultscd_minimal_themecd_nav_denominatorscd_nav_nationalcd_nav_qualitycd_nav_startcd_nav_subnationalcd_only_denominatorscd_palette_chipcd_population_servercd_population_uicd_rate_status_cellcd_report_contextcd_request_bayes_packagescd_saved_copy_namecd_scopecd_scope_filterscd_scope_servercd_scoped_page_servercd_scoped_page_uicd_start_bayes_workerscd_tab_indicatorcd_tabbed_charts_servercd_tabbed_charts_uicd_table_card_servercd_table_card_uicd_table_servercd_table_uicd_type_scalecd_upload_data_servercd_upload_data_uicd_wizard_check_groupcd_wizard_configcd_wizard_field_groupcd_wizard_indicator_groupcd_wizard_national_rate_fieldscd_wizard_rate_fieldcd_wizard_survey_fieldcd_years_inputcd_years_syncchart_facet_infocheck_admin_columnscheck_admin_pairing_consistencycheck_country_recognizedcheck_district_consistencycheck_district_cross_sheetcheck_district_year_completenesscheck_indicator_emptinesscheck_indicator_emptiness_presheetcheck_month_language_consistencycheck_month_presencecheck_month_presence_presheetcheck_month_validitycheck_month_validity_presheetcheck_population_service_collisioncheck_population_service_collision_presheetcheck_population_vs_birthscheck_required_columns_presheetcheck_shapefile_admin_namescheck_single_countrycheck_survey_admin_namesclean_error_messagecompute_indicator_numeratorcompute_service_utilizationcompute_step_statesconsistency_check_serverconsistency_check_uiconsistency_pair_keysconsistency_pair_labelcoverage_servercoverage_trends_servercoverage_trends_uicoverage_uicreate_mortality_ratioscreate_mortality_summarydata_adjustment_serverdata_adjustment_uidata_completeness_serverdata_completeness_uidata_quality_serverdata_quality_uiden_indicatorsdenominator_assessment_serverdenominator_assessment_uidenominator_selection_serverdenominator_selection_uidetect_indicator_groupequiplotequiplot_areaequiplot_educationequiplot_wealthequity_serverequity_uiexport_deckexport_reportfilter_adjustment_valuefilter_coveragefilter_high_performersfilter_inequalityfilter_mapping_datafilter_mortality_summaryfilter_out_yearsfilter_service_utilizationgenerate_adjustment_valuesgenerate_admin1_keysgenerate_admin1_mch_curative_indexgenerate_admin1_service_utilizationgenerate_bayes_modelgenerate_coverage_datagenerate_fpet_summarygenerate_health_system_tablegenerate_phc_scatter_datagenerate_private_sector_datagenerate_service_dqa_summaryget_admin_columnsget_all_indicatorsget_analysis_indicatorsget_country_iso3get_country_nameget_country_shapefileget_coverage_indicatorsget_excel_versionget_indicator_group_namesget_indicator_groupsget_mapping_dataget_named_indicatorsget_national_ratesget_plot_admin_columnget_population_columnget_selected_groupinequality_serverinequality_uiinit_CacheConnectioninternal_consistency_serverinternal_consistency_uiinterpretintroduction_serverintroduction_uiis_maternal_indicatorlist_indicator_groupslist_missing_unitslist_outlier_unitslist_tracer_vaccineslist_vaccine_indicatorsload_cache_dataload_csection_estimatesload_dataload_equity_dataload_excel_partsload_fpet_dataload_private_sector_dataload_survey_dataload_un_estimatesload_un_mortality_dataload_wuenic_datalocal_cd_quietmap_shapefile_servermap_shapefile_uimap_survey_servermap_survey_uimapping_modal_servermapping_modal_uimapping_provenance_bannermerge_and_standardizemerge_chart_optionsnational_coverage_servernational_coverage_uinational_inequality_servernational_inequality_uinational_rates_required_fieldsnational_rates_servernational_rates_uinational_target_servernational_target_uinew_countdownnotebook_datanr_fieldnr_groupoutlier_detection_serveroutlier_detection_uioverall_score_serveroverall_score_uiplot_comparisonplot_comparison_anc1_penta1plot_comparison_opv1_opv3plot_comparison_penta1_penta3plot_line_graphplot_mortality_plausibilityplot_national_health_metricprepare_mapping_service_utlizationprepare_population_metricsprepare_private_sector_plot_datapush_upload_on_remountquality_issues_tableread_shapefile_folderreference_estimates_serverreference_estimates_uiregister_indicator_grouprender_report_blockreport_asset_data_urlreport_block_kindsreport_block_sizereport_chart_fieldsreport_converterreport_deck_converterreport_deck_layoutsreport_default_coverreport_default_designreport_field_catalogreport_fieldsreport_final_pagesreport_flag_filereport_fontsreport_pagereport_presetsreport_project_blocksreport_resolve_blockreport_slide_sizereport_store_assetreport_theme_from_filereport_themesreporting_rate_serverreporting_rate_uireset_indicator_groupresolve_chart_optionsresolve_country_best_effortrestore_default_controlrobust_maxrr_indicatorsrun_all_quality_checkssave_datasave_dhis2_excelsave_dhis2_master_datasave_report_chartselect_adjustment_valueselect_coverageselect_inequalityselect_mapping_dataselect_mortality_summaryselect_service_utilizationset_selected_groupshapefile_step_servershapefile_step_uislim_bayes_modelstep_map_mapping_completestep_national_rates_completestep_quality_completestep_shapefile_completestep_shapefile_touchedstep_survey_files_completestep_survey_mapping_completestep_upload_completesubnational_coverage_serversubnational_coverage_uisubnational_denominator_serversubnational_denominator_uisubnational_inequality_serversubnational_inequality_uisubnational_mapping_serversubnational_mapping_uisubnational_target_serversubnational_target_uisummarise_completeness_ratiosurvey_comparison_serversurvey_comparison_uisurvey_estimates_required_fieldssurvey_fieldssurvey_upload_serversurvey_upload_uitarget_servertarget_uiupload_box_serverupload_box_uiwith_cd_quietwith_report_chart_optionswizard_fieldswizard_landing_serverwizard_landing_uiwizard_step_defswizard_steps_serverwizard_steps_uiwrite_quality_issues

Dependencies:askpassbase64encbitbit64bslibcachemcellrangerclassclassIntclicliprcodetoolscommonmarkcpp11crayondata.tabledatasuite.uiDBIdigestdplyre1071evaluatefarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverforcatsfsfuturegdtoolsgenericsggplot2globalsgluegtablehavenhighrhmshtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlifecyclelistenvloggerlubridatemagrittrmemoisemimeofficeropensslopenxlsxotelparallellypillarpkgconfigprettyunitsprogresspromisesproxypurrrquireR6raggrappdirsRColorBrewerRcppreactablereactRreadrreadxlrematchrlangrmarkdownrstudioapis2S7sassscalessfshinyshiny.i18nshiny.reactsourcetoolsstringdiststringistringrsyssystemfontstextshapingtibbletidyrtidyselecttimechangetinytextzdbunitsutf8uuidvctrsviridisLitevroomwithrwkxfunxml2xtableyamlzip

Building an app on cd2030.core
How the packages fit | The parts of an app | 1. Choose the indicator group and the app's settings | 2. Set up the Load Data screen | 3. Build the translator | 4. List the pages | 5. Build the sidebar and call cd_app() | Writing a page | Results a page can read | Running and publishing
Rendered frombuilding-an-app.Rmdusingknitr::rmarkdown

Last update: 2026-10-11
Started: 2026-10-11

Checking data quality
Reporting rates | Extreme outliers | Missing values | Consistency between indicators | The overall score | Changing how a chart looks | Through the dataset object | Acting on what you find
Rendered fromdata-quality.Rmdusingknitr::rmarkdown

Last update: 2026-10-11
Started: 2026-10-11

From adjustment to coverage
1. Adjust the counts | 2. Compare the denominators | 3. Give the national rates | 4. Compute coverage | 5. Choose a denominator | 6. Compare with surveys and WUENIC | Beyond coverage | Write a report | Save the dataset
Rendered fromcoverage.Rmdusingknitr::rmarkdown

Last update: 2026-10-11
Started: 2026-10-11

Get started with cd2030.core
Install | Load a dataset | Look at the quality of the data | Adjust the data and compute coverage | Save the work | Where to go next
Rendered fromcd2030.core.Rmdusingknitr::rmarkdown

Last update: 2026-10-11
Started: 2026-10-11

Preparing your data
The three kinds of file | The workbook | What loading does | Indicator groups | What the columns mean | When a file does not load | Reference data for the country
Rendered frompreparing-data.Rmdusingknitr::rmarkdown

Last update: 2026-10-11
Started: 2026-10-11

Readme and manuals

Help Manual

Help pageTopics
Add median and MAD columns for indicatorsadd_mad_med_columns
Add missing value flags to health indicatorsadd_missing_column
Add outlier flags based on 5-MAD boundsadd_outlier5std_column
Adjust service data for coverage analysisadjust_service_data
Data adjustment changes pageadjustment_changes_server adjustment_changes_ui
What the data quality checks found, for the Data Adjustment pageadjustment_evidence
Check and tidy adjustment settingsadjustment_settings_check
The Countdown default adjustment settingsadjustment_settings_default
Describe the adjustment settings as a report footnoteadjustment_settings_footnote
Adjustment settings from the older k-factors and excluded yearsadjustment_settings_from_k
Which adjustment steps an indicator getsadjustment_steps_used
A Bayesian model's estimates as a tablebayes_model_estimates
Bayesian page server for the page registrybayesian_page_server
Bayesian coverage model pagebayesian_server bayesian_ui
What a CacheConnection data point iscache_definition
What the Countdown AI knows of CacheConnectioncache_manifest
Reporting rate summary by administrative levelcalculate_average_reporting_rate
Summarize data completeness by yearcalculate_completeness_summary
Combine immunization coverage datacalculate_coverage
Generate coverage data with derived denominatorscalculate_derived_coverage
District-level completeness summarycalculate_district_completeness_summary
District-level outlier summary by yearcalculate_district_outlier_summary
Calculate district adequacy summarycalculate_district_ratios_summary
District-level reporting rates by yearcalculate_district_reporting_rate
Compare health system metrics across levelscalculate_health_system_comparison
Calculate health system metricscalculate_health_system_metrics
Calculate health coverage indicatorscalculate_indicator_coverage
Analyze subnational health coverage data with inequality metricscalculate_inequality
Annual summary of outlier-free reporting ratescalculate_outliers_summary
Calculate overall quality score for data quality metricscalculate_overall_score
Calculate overall quality score from summariescalculate_overall_score1
Calculate indicator ratios and adequacy flagscalculate_ratios_and_adequacy
Calculate yearly indicator ratios summary with expected ratioscalculate_ratios_summary
Indicator ratios cardcalculate_ratios_server calculate_ratios_ui
Calculate coverage/dropout threshold attainmentcalculate_threshold
Choices of the admin level chipcd_admin_level_choices
Admin level and region filter chipscd_admin_level_server cd_admin_level_ui
Split the admin level filter's value into two reactivescd_admin_parts
Build a Countdown appcd_app
Fit one Bayesian coverage model in a background workercd_bayes_fit_task
Indicators the Bayesian coverage model can be fitted forcd_bayes_indicators
The R command that installs the Bayesian model's packagescd_bayes_install_command
The Bayesian model's packages that are not installedcd_bayes_packages_missing
Read one of the app's settingscd_cfg
The charts that have saved optionscd_chart_catalog
The id of a chartcd_chart_id
The CacheConnection members a custom chart may draw fromcd_chartable_members
Chart with its tools and downloadscd_coverage_plot_server cd_coverage_plot_toolbar_ui cd_coverage_plot_ui
The table a custom chart drawscd_custom_chart_data
The indicators this app's tabbed chart cards showcd_default_indicator_set
The standard indicators of a tabbed chart cardcd_default_indicators
Label and hint of a denominator chipcd_denominator_chip_keys
The standard denominator choicescd_denominator_choices
Draw the denominator row in a page headercd_denominator_header
The denominator options' labelscd_denominator_labels
The denominators this app offerscd_denominator_options
Row naming the denominators in usecd_denominator_row
Denominator filter chipcd_denominator_server cd_denominator_ui
Read column names with the data dictionarycd_describe_columns
The data dictionary: what the ids and column names in the package's data meancd_dictionary
Finish a plot: apply the chart optionscd_finish_plot
Whether this app has a maternal denominatorcd_has_maternal
The indicators' labelscd_indicator_labels
Indicator filter chipcd_indicator_server cd_indicator_ui
The table a CacheConnection member givescd_member_data
The constants of the Countdown methodologycd_methodology_defaults
A minimal chart themecd_minimal_theme
The standard sidebar sections of a Countdown appcd_nav_denominators cd_nav_national cd_nav_quality cd_nav_start cd_nav_subnational
Keep only the denominators this app offerscd_only_denominators
Colour palette chip for a page's mapscd_palette_chip
Arguments every chart sharescd-plot-arguments cd_plot_arguments
Population filter chipcd_population_server cd_population_ui
Table cell showing a rate with its statuscd_rate_status_cell
The report context of a datasetcd_report_context
Ask DataSuite to install the Bayesian model's packagescd_request_bayes_packages
File name of a dataset's saved copycd_saved_copy_name
Define the scope of a scoped pagecd_scope
Filter bar of a scopecd_scope_filters
Admin level and region of a scopecd_scope_server
A whole page that runs an analysis at a scopecd_scoped_page_server cd_scoped_page_ui
Start the background workers that fit the Bayesian modelscd_start_bayes_workers
The indicator of a tab of chartscd_tab_indicator
Chart card with one tab for each indicatorcd_tabbed_charts_server cd_tabbed_charts_ui
Flextable in a card with picture and Excel downloadscd_table_card_server cd_table_card_ui
Table card with a year or indicator controlcd_table_server cd_table_ui
The sizes of the text of a chartcd_type_scale
The Load Data screencd_upload_data_server cd_upload_data_ui
Check that a loaded dataset belongs to the app's indicator groupcd_wizard_check_group
The app's Load Data wizard configurationcd_wizard_config
Describe one group of fields of the National Rates stepcd_wizard_field_group
The indicator group the running app is forcd_wizard_indicator_group
The five national rate fields every indicator group needscd_wizard_national_rate_fields
Describe one field of the National Rates stepcd_wizard_rate_field cd_wizard_survey_field
The years a years chip meanscd_years_input
Keep a years chip in step with the datasetcd_years_sync
Check that the Admin sheet has its required columnscheck_admin_columns
Check that each district has one admin level 1 name in the Admin sheetcheck_admin_pairing_consistency
Check that the country in the Admin sheet is recognizedcheck_country_recognized
Check that districts are consistent across the datasetcheck_district_consistency
Check that districts match between the Admin sheet and the otherscheck_district_cross_sheet
Check that every district has every year in the Population sheetcheck_district_year_completeness
Flag indicators that have no datacheck_indicator_emptiness
Flag indicators that have no data, before mergingcheck_indicator_emptiness_presheet
Flag months that are written in more than one waycheck_month_language_consistency
Check that every district-year has all 12 monthscheck_month_presence
Check that every district-year has all 12 months, before mergingcheck_month_presence_presheet
Check that every month value is a recognized monthcheck_month_validity
Check that every month value is a recognized month, before mergingcheck_month_validity_presheet
Flag district-years where service births equal population birthscheck_population_service_collision
Flag service births that equal population births, before mergingcheck_population_service_collision_presheet
Check that population live births are not below reported birthscheck_population_vs_births
Check that the sheets have the columns an indicator group needscheck_required_columns_presheet
Flag admin level 1 names with no matching shapefile regioncheck_shapefile_admin_names
Check that the Admin sheet names one countrycheck_single_country
Flag admin level 1 names with no matching survey regioncheck_survey_admin_names
Clean and validate error messagesclean_error_message
Compute aggregated numerators for health indicatorscompute_indicator_numerator
Compute service utilization metricscompute_service_utilization
Work out the state of every Load Data wizard stepcompute_step_states
Consistency checks cardconsistency_check_server consistency_check_ui
Tab keys of the consistency check pairsconsistency_pair_keys
Tab label of a consistency check pairconsistency_pair_label
The Countdown pages, wizard, filters and app framecountdown-pages
Coverage trends by denominator cardcoverage_trends_server coverage_trends_ui
Coverage charts for one geographycoverage_server coverage_ui
Extract latest mortality ratios for UN comparisoncreate_mortality_ratios
Create mortality summary objectcreate_mortality_summary
Data adjustment pagedata_adjustment_server data_adjustment_ui
Data completeness pagedata_completeness_server data_completeness_ui
Data quality step of the Load Data wizarddata_quality_server data_quality_ui
Tabs of the denominator assessment chartden_indicators
Denominator assessment pagedenominator_assessment_server denominator_assessment_ui
Denominator selection pagedenominator_selection_server denominator_selection_ui
Auto-detect the best-matching indicator group from a vector of indicatorsdetect_indicator_group
Create dot plots for equity analysisequiplot
A specialized dot plot for area of residence analysisequiplot_area
A specialized dot plot for maternal education analysisequiplot_education
A specialized dot plot for wealth quintile analysisequiplot_wealth
Equity assessment pageequity_server equity_ui
Filter high-performing areas by coveragefilter_high_performers
Filter dataset by removing specified yearsfilter_out_years
Generate adjusted and unadjusted service counts by yeargenerate_adjustment_values
Generate a key for each admin level 1 unitgenerate_admin1_keys
Generate MCH vs curative index datagenerate_admin1_mch_curative_index
Generate service utilization admin level 1 datagenerate_admin1_service_utilization
Generate Bayesian coverage model objectgenerate_bayes_model
Generate coverage data for continuum of caregenerate_coverage_data
Load and generate FPET outputgenerate_fpet_summary
Generate health system metrics datagenerate_health_system_table
Generate PHC performance scatter datagenerate_phc_scatter_data
Generate private sector ownership datagenerate_private_sector_data
Generate service DQA summarygenerate_service_dqa_summary
Determine grouping columns for administrative levelsget_admin_columns
Get All Indicatorsget_all_indicators
Get Indicators excluding indicators without denominatorget_analysis_indicators
Get country ISO3 codeget_country_iso3
Get country nameget_country_name
Load country shapefile for mappingget_country_shapefile
Get Indicators for coverage calculationget_coverage_indicators
Format service utilization data for Excel exportget_excel_version
Get indicator group namesget_indicator_group_names
Get the current indicator group definitionget_indicator_groups
Get mapping data for subnational coverage analysisget_mapping_data
Get Named Indicator Vectorget_named_indicators
Get the rates the denominators use from survey dataget_national_rates
Determine the administrative column to use for plottingget_plot_admin_column
Get the population column for an indicator and denominatorget_population_column
Get the globally selected indicator groupget_selected_group
Sub-national inequality chartsinequality_server inequality_ui
Create a CacheConnection objectinit_CacheConnection
Internal consistency pageinternal_consistency_server internal_consistency_ui
Generic interpretation methodinterpret
Interpret FPET results with emphasis on current estimatesinterpret.cd_fpet_data
Introduction pageintroduction_server introduction_ui
Detemine if an indicator is maternal indicatoris_maternal_indicator
List available indicator group nameslist_indicator_groups
List the districts and months with a missing valuelist_missing_units
Identify monthly outliers by districtlist_outlier_units
List tracer vaccineslist_tracer_vaccines
List all vaccine and related coverage indicatorslist_vaccine_indicators
Initialize or load a cached Countdown 2030 connectionload_cache_data
Load C-section share estimatesload_csection_estimates
Load Countdown 2030 data (Excel or Stata)load_data
Load and filter equity dataload_equity_data
Read and clean the sheets of a Countdown 2030 workbookload_excel_parts
Load FPET data from CSV file or use provided dataload_fpet_data
Load and prepare private sector dataload_private_sector_data
Load and process survey dataload_survey_data
Load UN estimatesload_un_estimates
Load and filter UN mortality estimatesload_un_mortality_data
Load WUENIC immunization dataload_wuenic_data
Map Shapefile Names step of the Load Data wizardmap_shapefile_server map_shapefile_ui
Map Survey Files step of the Load Data wizardmap_survey_server map_survey_ui
Dialog that matches the dataset's region names to another sourcemapping_modal_server mapping_modal_ui
Banner that says how a saved name mapping was matchedmapping_provenance_banner
Merge and standardize sheets read by 'load_excel_parts()'merge_and_standardize
National coverage pagenational_coverage_server national_coverage_ui
National inequality pagenational_inequality_server national_inequality_ui
The values the National Rates step requiresnational_rates_required_fields survey_estimates_required_fields
National rates step of the Load Data wizardnational_rates_server national_rates_ui
National coverage target pagenational_target_server national_target_ui
Create a 'cd_data' object from cleaned data and resolve the indicator groupnew_countdown
Give DataSuite's notebooks a folder's Countdown datasetsnotebook_data
One number field of the wizard's formsnr_field
A titled group of fields in the wizard's formsnr_group
Outlier detection pageoutlier_detection_server outlier_detection_ui
Overall score pageoverall_score_server overall_score_ui
Internal consistency plot functions for indicator comparisonsplot_comparison plot_comparison_anc1_penta1 plot_comparison_opv1_opv3 plot_comparison_penta1_penta3
Plot comparison with linear fit and R-squaredplot_comparison.cd_data
Plot a line graph of several seriesplot_line_graph
Plot subnational mortality plausibilityplot_mortality_plausibility
Plot national health system metricsplot_national_health_metric
Plot adjusted vs. unadjusted data for health indicatorsplot.cd_adjustment_values_filtered
Plot sub-national reporting rates by year and unitplot.cd_average_reporting_rate
Plot S3 method for Bayesian coverage modelplot.cd_bayes_model
Plot missing summaryplot.cd_completeness_summary
Plot coverage by regionplot.cd_coverage
Plot national coverage dataplot.cd_coverage_filtered
Plot S3 method for coverage dataplot.cd_coverage_selected
Plot derived vs traditional coverage over timeplot.cd_derived_coverage
Plot district reporting rate summaryplot.cd_district_reporting_rate
Plot family planning estimation tool (FPET) dataplot.cd_fpet_data
Compare district vs admin level 1 health metricsplot.cd_health_system_comparison
Plot health metrics for admin level 1 unitsplot.cd_health_system_metric
Plot S3 method for health system metricsplot.cd_health_system_table
Plot national denominators and coverage indicatorsplot.cd_indicator_coverage
Plot subnational health coverage analysisplot.cd_inequality_filtered
Plot subnational coverage maps by indicatorplot.cd_mapping_filtered
Plot S3 method for MCH vs curative indexplot.cd_mch_curative_index
Plot percent of districts with complete dataplot.cd_missing_district
Plot completeness of facility reporting ratiosplot.cd_mortality_ratio_summarised
Plot mortality rate indicatorsplot.cd_mortality_summary
Plot filtered institutional mortality ratesplot.cd_mortality_summary_filtered
Visualize summary of outlier detectionplot.cd_outlier
Plot outlier time series for a regionplot.cd_outlier_list
Plot S3 method for overall scoreplot.cd_overall_score
Plot S3 method for PHC performance scatterplot.cd_phc_scatter
Plot national population or births metricsplot.cd_population_metrics
Plot S3 method for private sector ownershipplot.cd_private_sector
Plot private sector prevalence by sector and area/national levelplot.cd_private_sector_plot_data
Plot ratios summary for indicator ratios summary objectplot.cd_ratios_summary
Plot S3 method for service utilization at admin level 1plot.cd_service_utilization_admin1
Plot service utilization indicatorsplot.cd_service_utilization_filtered
Plot filtered service utilization indicatorsplot.cd_service_utilization_prepared
Plot target threshold attainment over timeplot.cd_threshold
Plot S3 method for service DQA summaryplot.cd_utilization_dqa
Filter and prepare service utilization data for mappingprepare_mapping_service_utlization
Compute population metrics for DHIS-2 and UN dataprepare_population_metrics
Prepare private sector plot dataprepare_private_sector_plot_data
Print method for 'cd_data' classprint.cd_data
Keep an upload zone showing the file the dataset already holdspush_upload_on_remount
Tabulate data quality resultsquality_issues_table
Read a user-uploaded shapefile folderread_shapefile_folder
Reference-data uploads of the wizard's Upload Data stepreference_estimates_server reference_estimates_ui
Register or override an indicator group (profile)register_indicator_group
The charts and tables a report can containreport_block_kinds
The standard reportsreport_presets
Reporting rate pagereporting_rate_server reporting_rate_ui
Reset (remove) a group overridereset_indicator_group
Find the country of an Admin sheet without raising an errorresolve_country_best_effort
A link that clears something the user set in the datasetrestore_default_control
Robust maximum value calculationrobust_max
Tabs of the reporting rate chartrr_indicators
Run all data quality checks and report every resultrun_all_quality_checks
Save processed Countdown 2030 data to filesave_data
Save DHIS2 data to an Excel workbooksave_dhis2_excel
Create a master dataset from DHIS2 datasave_dhis2_master_data
Select one indicator's adjustment valuesselect_adjustment_value
Select one indicator's coverageselect_coverage
Select one indicator's inequality metricsselect_inequality
Select one indicator's mapping dataselect_mapping_data
Select one mortality rate, ready to mapselect_mortality_summary
Select one service utilization indicatorselect_service_utilization
Set the selected indicator group globallyset_selected_group
Shapefile step of the Load Data wizardshapefile_step_server shapefile_step_ui
A Bayesian model without the sampler's draws and the compiled Stan modelslim_bayes_model
Tests of whether a Load Data wizard step is completestep_map_mapping_complete step_national_rates_complete step_quality_complete step_shapefile_complete step_shapefile_touched step_survey_files_complete step_survey_mapping_complete step_upload_complete
Sub-national coverage pagesubnational_coverage_server subnational_coverage_ui
Sub-national coverage by denominator cardsubnational_denominator_server subnational_denominator_ui
Sub-national inequality pagesubnational_inequality_server subnational_inequality_ui
Sub-national coverage mapssubnational_mapping_server subnational_mapping_ui
Sub-national coverage target pagesubnational_target_server subnational_target_ui
Summarize completeness-adjusted mortality ratiosummarise_completeness_ratio
Coverage against the survey cardsurvey_comparison_server survey_comparison_ui
The dataset fields of the five survey filessurvey_fields
Survey files step of the Load Data wizardsurvey_upload_server survey_upload_ui
Coverage target charts and tabletarget_server target_ui
Summary for 'cd_adjustment_values' Objectstbl_sum.cd_adjustment_values
Summary for average reporting rates by yeartbl_sum.cd_average_reporting_rate
Summary for 'cd_completeness_summary'tbl_sum.cd_completeness_summary
Summary for 'cd_district_outliers_summary'tbl_sum.cd_district_outliers_summary
Summary for 'cd_district_ratios_summary' Objecttbl_sum.cd_district_ratios_summary
Summary for district-level reporting rates by yeartbl_sum.cd_district_reporting_rate
Table summary for national coverage estimatestbl_sum.cd_indicator_coverage
Summary for 'cd_missing_district'tbl_sum.cd_missing_district
Summary for 'cd_outlier'tbl_sum.cd_outlier
Summary for 'cd_population_metrics'tbl_sum.cd_population_metrics
Summary for 'cd_ratios_summary' Objecttbl_sum.cd_ratios_summary
Main dataset upload of the Load Data wizardupload_box_server upload_box_ui
Execute code in quiet modelocal_cd_quiet with_cd_quiet
The National Rates fields of one kindwizard_fields
Summary page of the Load Data wizardwizard_landing_server wizard_landing_ui
The steps of the Load Data wizardwizard_step_defs
The Load Data wizard: its steps, navigation and Finishwizard_steps_server wizard_steps_ui
Write every data quality result to an Excel workbookwrite_quality_issues