| add_index_variables | Create index variables for subnational modelling |
| build_jags_inputs | Build JAGS metadata objects |
| build_spline_basis | Build a B-spline basis for each subnational area |
| clean_fp_source_data | Clean Subnational Family Planning Source Data |
| compute_T_star | Compute T* (last observed year per subnational area) |
| Country_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 |
| country_codes_DHS | Country Codes for DHS Surveys |
| 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. |
| extract_mcmsector_params | Extract alpha_pms and beta.k MCMC samples from a JAGS model object |
| fix_region_names | Harmonise Region Names for Selected Countries |
| run_preprocessing_pipeline | High-level preprocessing pipeline |
| simulate_posterior_proportions | Simulate posterior public/private proportions from alpha and beta parameters |
| standardize_country_names | Standardise country names and attach super-region classification |
| subnat_bivar_data | DHS survey observations for the proportion of modern contraceptives supplied by the public and private sectors at the subnational level |
| summarise_posterior_proportions | Summarise posterior probability samples into mean and quantiles |