Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Imports: geepack, lme4, stats, data.table, labelled, tableone, coxme,

Description: Create regression tables from generalized linear model(GLM), Generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
epiDisplay, survival, DT, survey, methods

survival, survey, methods, dplyr, purrr, magrittr, tibble

survival, survey, methods, dplyr, purrr, magrittr, tibble, car

survival (>= 3.0.0), survey, methods, dplyr, purrr, magrittr,

Authors@R: person("Thomas", "Klebel", email = "t.klebel@hotmail.com",
Description: Functions and helpers to import metadata, ngrams and full-texts
delivered by Data for Research by JSTOR.
Suggests: testthat, covr, knitr, rmarkdown, future

Author: Thomas Klebel [aut, cre] (<https://orcid.org/0000-0002-7331-4751>)

Description: The core of this 'Rcpp' based package is a function to compute standardized Jonckheere-Terpstra test statistics for large numbers of dependent and independent variables, e.g., genome-wide analysis. It implements 'OpenMP', allowing the option of computing on multiple threads. Supporting functions are also provided to calculate p-values and summarize results.

Description: Minimal and memory efficient implementation of the junction tree
algorithm using the Lauritzen-Spiegelhalter scheme;
S. L. Lauritzen and D. J. Spiegelhalter (1988)

Suggests: rmarkdown, knitr, tinytest, ess

Title: Analyzing and Presenting Social Scientific Data
Description: This is a collection of tools that the author (Jacob) has written
for the purpose of more efficiently understanding and sharing the results of
(primarily) regression analyses. There are a number of functions focused
specifically on the interpretation and presentation of interactions in linear
models. Just about everything supports models from the survey package.
Suggests: ggplot2, lmtest, sandwich, car, survey, weights,