Create Tables from Different Types of Regression
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.
geepack, lme4, stats, data.table, labelled, tableone, coxme,
survival, survey, methods

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.
geepack, lme4, stats, data.table, labelled, tableone, coxme,
epiDisplay, survival, DT, survey, methods

geepack, lme4, stats, data.table, labelled, tableone, coxme,
survival, survey, methods, dplyr, purrr, magrittr, tibble

geepack, lme4, stats, data.table, labelled, tableone, coxme,
survival, survey, methods, dplyr, purrr, magrittr, tibble, car

geepack, lme4, stats, data.table, labelled, tableone, coxme,
survival (>= 3.0.0), survey, methods, dplyr, purrr, magrittr,
tibble, car

geepack, lme4, stats, data.table, labelled, tableone, coxme,
survival (>= 3.0.0), survey, methods, dplyr, purrr, magrittr,
tibble

person("Thomas", "Klebel", email = "t.klebel@hotmail.com",
role = c("aut", "cre"))
Functions and helpers to import metadata, ngrams and full-texts
delivered by Data for Research by JSTOR.
testthat, covr, knitr, rmarkdown, future

person("Thomas", "Klebel", email = "t.klebel@hotmail.com",
role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7331-4751"))
Thomas Klebel [aut, cre] (<https://orcid.org/0000-0002-7331-4751>)

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.