Package: fastbackward 1.0.1

Jacob Seedorff

fastbackward: Fast Backward Elimination Based on Information Criterion

Performs backward elimination with similar syntax to the stepAIC() function from the 'MASS' package. A bounding algorithm is used to avoid fitting unnecessary models, making it much faster.

Authors:Jacob Seedorff [aut, cre]

fastbackward_1.0.1.tar.gz
fastbackward_1.0.1.zip(r-4.7-any)fastbackward_1.0.1.zip(r-4.6-any)fastbackward_1.0.1.zip(r-4.5-any)
fastbackward_1.0.1.tgz(r-4.6-any)fastbackward_1.0.1.tgz(r-4.5-any)
fastbackward_1.0.1.tar.gz(r-4.7-any)fastbackward_1.0.1.tar.gz(r-4.6-any)
fastbackward_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fastbackward/json (API)

# Install 'fastbackward' in R:
install.packages('fastbackward', repos = c('https://jacobseedorff21.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jacobseedorff21/fastbackward/issues

On CRAN:

Conda:

regressionstatisticssubset-selection

2.70 score 1 scripts 350 downloads 1 exports 1 dependencies

Last updated from:18a1a20f3f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK106
source / vignettesOK201
linux-releaseOK111
macos-releaseOK92
macos-oldrelOK90
windows-develOK55
windows-releaseOK70
windows-oldrelOK50
wasm-releaseOK75

Exports:fastbackward

Dependencies:MASS