/models-for-missing-data

Bayesian models for analysis of monitoring data with non-ignorable missingness

Primary LanguageRMIT LicenseMIT

GitHub Pages Docker Model CI

models-for-missing-data

The "models-for-missing-data" repo contains code used to specify and fit Bayesian models to monitoring data. Models, data, and details of the sampling design – e.g., observation units (plots, quadrats, and transects) within sites, sites within strata, and strata within parks – are declared using YAML configuration files. Complete technical documentation can be found in the Developer's Guide. The article describing the general modeling approach can be found here.

assets

Data, model config files, and the "model zoo", a quick reference for many of the models implemented by this collection of tools.

model-api

R library for calling the model building / model fitting API.