Organize & Run Build Scripts Comfortably
person(given = "Jan",
family = "Netik",
role = c("aut", "cre"),
email = "netikja@gmail.com",
comment = c(ORCID = "0000-0002-3888-3203"))
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
with one keystroke anywhere anytime.
rstudioapi, usethis, readr, glue, stringr, magrittr, tibble,
utils
knitr, rmarkdown, roxygen2, testthat (>= 3.0.0), spelling

knitr, rmarkdown, roxygen2, testthat (>= 3.0.0), spelling,
pkgdown

Buckley-James Regression for Survival Data with High-Dimensional
Covariates
mda, ncvreg, mboost, gbm, earth, elasticnet, rms
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.

mda, ncvreg, mboost, gbm, earth, elasticnet, rms, methods

Buckley-James regression for right-censoring survival data with high-dimensional covariates. Implementations for survival data include boosting with componentwise linear least squares, componentwise smoothing splines, regression trees and MARS. Other high-dimensional tools include penalized regression for survival data.
mda, mpath, mboost, gbm, earth, elasticnet, rms, methods,
modeltools, bst, parallel

Buckley-James regression for right-censoring survival data with high-dimensional covariates. Implementations for survival data include boosting with componentwise linear least squares, componentwise smoothing splines, regression trees and MARS. Other high-dimensional tools include penalized regression for survival data. See Wang and Wang (2010) <doi:10.2202/1544-6115.1550>.
mda, mpath, mboost, gbm, earth, elasticnet, rms, methods,
modeltools, bst, parallel, survival