R-universe - alkemalab (Alkema lab @ UMass Amherst)

bayescoveragemodel - Bayesian Transition Models for Estimating and Forecasting Health Coverage Indicators

Fits Bayesian hierarchical transition models to health coverage indicators (e.g., ANC4, institutional delivery) using survey and routine data. Implements models using Stan for Bayesian inference, with support for global and local (country-specific) model fitting, out-of-sample validation, and subnational estimation.

Last updated

3.26 score 1 dependents 5 scripts

localhierarchy - An R package to facilitate fitting of global and local Bayesian hierarchical models

The localhierarchy package implements a flexible set up to estimate parameters hierarchically and to carry out local model fits, whereby higher-level parameters are fixed.

Last updated

3.15 score

bayescoveragedeploy - Precompiled Stan Models for Deployment of Bayesian Coverage Model

Provides precompiled Stan models for fitting local country-level Bayesian hierarchical transition models for health coverage indicators. This package uses the rstan backend with precompiled models for users without C++ compilers. All core functionality is provided by the bayescoveragemodel package.

Last updated

cpp

2.00 score 8 scripts