Package: unmconf 1.0.0

David Kahle

unmconf: Modeling with Unmeasured Confounding

Tools for fitting and assessing Bayesian multilevel regression models that account for unmeasured confounders.

Authors:Ryan Hebdon [aut], James Stamey [aut], David Kahle [aut, cre], Xiang Zhang [aut]

unmconf_1.0.0.tar.gz
unmconf_1.0.0.tar.gz(r-4.5-noble)unmconf_1.0.0.tar.gz(r-4.4-noble)
unmconf_1.0.0.tgz(r-4.4-emscripten)unmconf_1.0.0.tgz(r-4.3-emscripten)
unmconf.pdf |unmconf.html✨
unmconf/json (API)

# Install 'unmconf' in R:
install.packages('unmconf', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

jagscpp

2.30 score 153 downloads 10 exports 29 dependencies

Last updated 4 months agofrom:6309f52a9b. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 09 2024
R-4.5-linuxOKDec 09 2024

Exports:drop_nullsexpand_labelsgreek_expanderjags_codemake_greek_coefsrunmunm_backfillunm_dicunm_glmunm_summary

Dependencies:clicodacpp11dplyrfansigenericsgluehmsjanitorlatticelifecyclelubridatemagrittrpillarpkgconfigpurrrR6rjagsrlangsnakecasestringistringrtibbletidyrtidyselecttimechangeutf8vctrswithr

How to Use the unmconf Package

Rendered fromunmconf.Rmdusingknitr::rmarkdownon Dec 09 2024.

Last update: 2024-09-10
Started: 2023-12-13

Readme and manuals

Help Manual

Help pageTopics
Convert to Greek expressionsdrop_nulls expand_labels greek_expander helpers make_greek_coefs
Generate synthetic datarunm
Fitting Multilevel Bayesian Regression Model with Unmeasured Confounderscoef.unm_int jags_code print.unm_int unm_glm
Generate synthetic dataunm_backfill unm_dic unm_summary
unmconf: Modeling with Unmeasured Confoundingunmconf-package unmconf