Year: 2025
Type: article
Abstract: In this paper, we introduce the R package mcmsupply which implements Bayesian hierarchical models for estimating and projecting modern contraceptive market supply shares over time. The package implements four model types. These models vary by the administration level of their outcome estimates (national or subnational estimates) and dataset type utilised in the estimation (multi-country or single-country contraceptive market supply datasets). The mcmsupply package contains a compilation of national and subnational level contraceptive source datasets, generated by Integrated Public Use Microdata Series (IPUMS) and Demographic and Health Survey (DHS) microdata. We describe the functions that implement the models through practical examples. The annual estimates and projections with uncertainty of the contraceptive market supply, produced by mcmsupply at a national and subnational level, are the first of their kind. These estimates and projections have diverse applications, including acting as an indicator of family planning market stability over time and being utilised in the calculation of estimates of modern contraceptive use.
Source: The R Journal
DOI: 10.32614/rj-2024-020
Authors: Hannah Comiskey, Niamh Cahill
Institution: National University of Ireland, Maynooth
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4410764933