Rcpp, graphics, grDevices, stats, ggplot2, ggpubr, generics,
tibble, dplyr, rlang, stringr, purrr
knitr, rmarkdown, testthat, spelling, covr, markdown (>=
1.1), tidyverse, modelsummary, broom

Multivariate process capability analysis using the multivariate process capability vector. Allows to analyze a multivariate process with both normally and non-normally distributed and also with dependent and independent quality characteristics.

c(person("Matthias", "Kohl", role=c("aut", "cph")),
person("Srinath", "Kolampally", role=c("cre", "aut", "cph"),
email = "kolampally.srinath@gmail.com"))
Functions for calculating sample size and power for clinical trials
with multiple (co-)primary endpoints.
Matthias Kohl [aut, cph],
Srinath Kolampally [cre, aut, cph]

A fast approach to compute approximate persistent homology using a mutliscale approach

A fast approach to compute approximate persistent homology using a multiscale approach

Graphical Model Stability and Variable Selection Procedures
c(person("Garth", "Tarr", role = c("aut", "cre"), email = "garth.tarr@gmail.com"), person("Samuel", "Mueller", role = "aut", email = "samuel.mueller@sydney.edu.au"), person("Alan", "Welsh", role = "aut", email = "alan.welsh@anu.edu.au"))
Model stability and variable importance plots [Mueller and Welsh (2010, <doi:10.1111/j.1751-5823.2010.00108.x>); Murray, Heritier and Mueller (2013, <doi:10.1002/sim.5855>)] as well as the adaptive fence [Jiang et al. (2008, doi:10.1214/07-AOS517>); Jiang et al. (2009, <doi:10.1016/j.spl.2008.10.014>)] for linear and generalised linear models.
leaps, foreach, parallel, bestglm, doParallel, plyr,
shinydashboard, shiny, googleVis
Garth Tarr [aut, cre],
Samuel Mueller [aut],
Alan Welsh [aut]

Model stability and variable inclusion plots [Mueller and Welsh (2010, <doi:10.1111/j.1751-5823.2010.00108.x>); Murray, Heritier and Mueller (2013, <doi:10.1002/sim.5855>)] as well as the adaptive fence [Jiang et al. (2008, <doi:10.1214/07-AOS517>); Jiang et al. (2009, <doi:10.1016/j.spl.2008.10.014>)] for linear and generalised linear models.
leaps, foreach, parallel, bestglm, doParallel, plyr,
shinydashboard, shiny, glmnet, googleVis, graphics, stats