log-likelihood or its significance, Akaike's Information Criterion, the Bayesian
Information Criterion, or the explained deviance.
Imports: graphics, lme4, methods, mgcv, nlme, plyr, stats, utils
knitr, lmerTest, nnet, parallel, partykit, pbkrtest, rmarkdown

knitr, lmerTest, nnet, ordinal, parallel, partykit, pbkrtest,

Information Criterion, the explained deviance, or the F-test of the change in R².
Suggests: GLMMadaptive, MASS, gamm4, glmertree, glmmTMB, knitr,
lmerTest, nnet, ordinal, parallel, partykit, pbkrtest,

Imports: graphics, lme4, methods, mgcv, nlme, stats, utils

Description: Working with reproducible reports or any other similar projects often requires to run the script that builds the output file in a specified way. One can become tired from repeatedly switching to the build script and sourcing it. The 'buildr' package does this one simple thing via 'RStudio' addin – user can set up the keyboard shortcut and run the build script with one keystroke anywhere anytime. The second way is to pass buildr() command to console which does the same thing. Both ways source the build.R (case insensitive) file present in the current working directory.

Title: Organize & Run Build Scripts Comfortably
Description: Working with reproducible reports or any other
similar projects often require to run the script that builds the
output file in a specified way. 'buildr' can help you organize, modify
and comfortably run those scripts. The package provides a set of
functions that interactively guides you through the process and that
are available as 'RStudio' Addin, meaning you can set up the keyboard
shortcuts, enabling you to choose and run the desired build script
Imports: rstudioapi, usethis, readr, glue, stringr, magrittr, tibble,
Suggests: knitr, rmarkdown, roxygen2, testthat (>= 3.0.0), spelling
Author: Jan Netik [aut, cre] (<https://orcid.org/0000-0002-3888-3203>)

Suggests: knitr, rmarkdown, roxygen2, testthat (>= 3.0.0), spelling,

Title: Buckley-James Regression for Survival Data with High-Dimensional
Author: Zhu Wang and others (see COPYRIGHTS)
Imports: mda, ncvreg, mboost, gbm, earth, elasticnet, rms
Description: Buckley-James regression for right-censoring survival data with high-dimensional covariates. Including L_2 boosting with componentwise linear least squares, componentwise smoothing splines, P-splines, regression trees and boosted MARS. Other high-dimensional tools include elastic net and MARS.