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)fastbackward_1.0.1.zip(r-4.6)fastbackward_1.0.1.zip(r-4.5)
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✨
card.svg |card.png
fastbackward/json (API)
NEWS

# 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:

regression statistics subset-selection

2.70 score 1 scripts 607 downloads 1 exports 1 dependencies

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

Target	Result	Time
linux-devel-x86_64	OK	108
source / vignettes	OK	180
linux-release-x86_64	OK	106
macos-release-arm64	OK	144
macos-oldrel-arm64	OK	132
windows-devel	OK	73
windows-release	OK	61
windows-oldrel	OK	61
wasm-release	OK	89