Package: mcmsupply 1.1.1
Hannah Comiskey
mcmsupply: Estimating Public and Private Sector Contraceptive Market Supply Shares
Family Planning programs and initiatives typically use nationally representative surveys to estimate key indicators of a country’s family planning progress. However, in recent years, routinely collected family planning services data (Service Statistics) have been used as a supplementary data source to bridge gaps in the surveys. The use of service statistics comes with the caveat that adjustments need to be made for missing private sector contributions to the contraceptive method supply chain. Evaluating the supply source of modern contraceptives often relies on Demographic Health Surveys (DHS), where many countries do not have recent data beyond 2015/16. Fortunately, in the absence of recent surveys we can rely on statistical model-based estimates and projections to fill the knowledge gap. We present a Bayesian, hierarchical, penalized-spline model with multivariate-normal spline coefficients, to account for across method correlations, to produce country-specific,annual estimates for the proportion of modern contraceptive methods coming from the public and private sectors. This package provides a quick and convenient way for users to access the DHS modern contraceptive supply share data at national and subnational administration levels, estimate, evaluate and plot annual estimates with uncertainty for a sample of low- and middle-income countries. Methods for the estimation of method supply shares at the national level are described in Comiskey, Alkema, Cahill (2022) <arxiv:2212.03844>.
Authors:
mcmsupply_1.1.1.tar.gz
mcmsupply_1.1.1.tar.gz(r-4.5-noble)mcmsupply_1.1.1.tar.gz(r-4.4-noble)
mcmsupply_1.1.1.tgz(r-4.4-emscripten)mcmsupply_1.1.1.tgz(r-4.3-emscripten)
mcmsupply.pdf |mcmsupply.html✨
mcmsupply/json (API)
NEWS
# Install 'mcmsupply' in R: |
install.packages('mcmsupply', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hannahcomiskey/mcmsupply/issues
Pkgdown:https://hannahcomiskey.github.io
- Country_and_area_classification - The Country and area classification according to the United Nations Standaistical Division, Standard country or area codes for statistical use (M49). Adapted for use in FP2030 by the Track20 project. A subset of data from the United Nations country classifications
- DEFT_DHS_database - DEFT_DHS_database A database of the design effects for some of the DHS surveys in the national and subnational datasets. Due to due to multistage and clustering of the DHS sample, the average standard error is increased by a design effect (DEFT) factor over that in an equivalent simple random sample.
- country_names - The names of the countries with national and subnational administration level data stored
- national_FPsource_VARCOV_bivarlogitnormal - An array of variance-covariance matrices corresponding to the DHS survey observations for the proportion of modern contraceptives supplied by the public and private sectors at the national level
- national_FPsource_data - DHS survey observations for the proportion of modern contraceptives supplied by the public and private sectors at the national level
- national_FPsource_format - A checklist for ensuring national-level custom data is appropriate to be used for estimation
- national_estimated_correlations_bivarlogitnormal - The estimated national-level correlations between the rates of change in methods
- national_inv_sigma_delta_hat_bivarlogitnorm - The median estimate for the national-level variance-covariance matrix of the delta.k terms in the multi-country national model.
- national_tau_alpha_cms_hat_bivarlogitnorm - The median estimates of the precision for the national-level country
- national_theta_rms_hat_bivarlogitnorm - The median estimates of the national-level sub-continental, sector-, method-specific intercepts in the multi-country national model. This array is used to inform the Normal prior of the country-level intercept in the single-country national model.
- national_varcov_order_bivarlogitnormal - The order of observations to join the variance-covariance array data and the DHS survey observations for the proportion of modern contraceptives supplied by the public and private sectors at the national level
- subnat_FPsource_data - DHS survey observations for the proportion of modern contraceptives supplied by the public and private sectors at the subnational administration level.
- subnat_FPsource_format - A checklist for ensuring subnational-level custom data is appropriate to be used for estimation
- subnational_alpha_cms_hat - The median estimates of the subnational-level country, sector-, method-specific intercepts in the multi-country subnational model. This array is used to inform the Normal prior of the subnational-level intercept in the single-country subnational model.
- subnational_estimated_correlations - The estimated subnational-level correlations between the rates of change in methods
- subnational_inv.sigma_delta_hat - The median estimate for the subnational-level precision matrix of the delta.k terms in the multi-country subnational model. This array is used to inform the multi-variate normal prior in the single-country subnational model.
- subnational_tau_alpha_pms_hat - Subnational_tau_alpha_pms_hat The median estimates of the precision for the subnational-level country
Last updated 9 months agofrom:947582bfb4. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 14 2024 |
R-4.5-linux | OK | Nov 14 2024 |
Exports:get_dataget_modelinputsget_posterior_P_sampsplot_estimatespull_estimatesrun_jags_model
Dependencies:abindarrayhelpersaskpassbackportsbase64encbitbit64blobbootbroombslibcachemcallrcellrangercheckmateclicliprcodacodetoolscolorspaceconflictedcpp11crayoncurldata.tableDBIdbplyrdigestdistributionaldplyrdtplyrevaluatefansifarverfastmapfontawesomeforcatsforeachfsgarglegenericsggdistggplot2gluegoogledrivegooglesheets4gtablehavenhighrhmshtmltoolshttridsisobanditeratorsjquerylibjsonliteknitrlabelinglatticelifecyclelubridatemagrittrMASSMatrixmatrixStatsmemoisemgcvmimemodelrmunsellnlmenumDerivopensslpillarpkgconfigplyrposteriorprettyunitsprocessxprogresspspurrrquadprogR2jagsR2WinBUGSR6raggrappdirsRColorBrewerRcppreadrreadxlrematchrematch2reprexrjagsrlangrmarkdownrstudioapirunjagsrvestsassscalesselectrstringistringrsvUnitsyssystemfontstensorAtextshapingtibbletidybayestidyrtidyselecttidyversetimechangetinytextzdbutf8uuidvctrsviridisLitevroomwithrxfunxml2yaml
Package data
Rendered frompackage_data.Rmd
usingknitr::rmarkdown
on Nov 14 2024.Last update: 2024-03-13
Started: 2023-07-12
Running a national level multi-country model
Rendered fromnational_multicountry_mod.Rmd
usingknitr::rmarkdown
on Nov 14 2024.Last update: 2024-03-19
Started: 2024-03-13
Running a national level single-country model
Rendered fromnational_singlecountry_mod.Rmd
usingknitr::rmarkdown
on Nov 14 2024.Last update: 2024-03-19
Started: 2024-03-13
Running a national level single-country model with custom data
Rendered fromnational_singlecountry_customdata_models.Rmd
usingknitr::rmarkdown
on Nov 14 2024.Last update: 2024-03-19
Started: 2024-03-13
Running a subnational level multi-country model
Rendered fromsubnational_multicountry_models.Rmd
usingknitr::rmarkdown
on Nov 14 2024.Last update: 2024-03-19
Started: 2024-03-13
Running a subnational level single-country model
Rendered fromsubnational_singlecountry_models.Rmd
usingknitr::rmarkdown
on Nov 14 2024.Last update: 2024-03-19
Started: 2024-03-13
Running a subnational level single-country model with custom data
Rendered fromsubnational_singlecountry_customdata_models.Rmd
usingknitr::rmarkdown
on Nov 14 2024.Last update: 2024-03-19
Started: 2024-03-13