Package: svyCausalGLM 0.1.0

Shakeel Ahmed

svyCausalGLM: Survey-Weighted Modeling Utilities

Utility functions for survey-weighted regression, diagnostics, and visualization.

Authors:Shakeel Ahmed [aut, cre]

svyCausalGLM_0.1.0.tar.gz
svyCausalGLM_0.1.0.tar.gz(r-4.7-any)svyCausalGLM_0.1.0.tar.gz(r-4.6-any)
svyCausalGLM_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
svyCausalGLM/json (API)

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

On CRAN:

Conda:

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

2.00 score 117 downloads 4 exports 28 dependencies

Last updated from:fa3e91201f. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK176
source / vignettesOK248
linux-release-x86_64OK152
wasm-releaseOK116

Exports:final_prog_svyglmfinal_prop_svyglmfinal_svyglmviz_auc_svyglm

Dependencies:clicpp11DBIfarverggplot2gluegtableisobandlabelinglatticelifecycleMatrixminqamitoolsnnetnumDerivR6RColorBrewerRcppRcppArmadillorlangS7scalessurveysurvivalvctrsviridisLitewithr

Survey-Weighted Logistic Regression with Propensity and Prognostic Weighting: Effect Size and AUC

Rendered fromsvyCasualGLM-workflow.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2026-03-03
Started: 2026-03-03