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-4.5)fastbackward_1.0.1.zip(r-4.4)fastbackward_1.0.1.zip(r-4.3)
fastbackward_1.0.1.tgz(r-4.5-any)fastbackward_1.0.1.tgz(r-4.4-any)fastbackward_1.0.1.tgz(r-4.3-any)
fastbackward_1.0.1.tar.gz(r-4.5-noble)fastbackward_1.0.1.tar.gz(r-4.4-noble)
fastbackward_1.0.1.tgz(r-4.4-emscripten)fastbackward_1.0.1.tgz(r-4.3-emscripten)
fastbackward.pdf |fastbackward.html✨
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:

Conda:

regressionstatisticssubset-selection

3.40 score 1 scripts 454 downloads 1 exports 1 dependencies

Last updated 10 months agofrom:18a1a20f3f. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 25 2025
R-4.5-winOKMar 25 2025
R-4.5-macOKMar 25 2025
R-4.5-linuxOKMar 25 2025
R-4.4-winOKMar 25 2025
R-4.4-macOKMar 25 2025
R-4.4-linuxOKMar 25 2025
R-4.3-winOKMar 25 2025
R-4.3-macOKMar 25 2025

Exports:fastbackward

Dependencies:MASS