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-4.4-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'))

Peer review:

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

On CRAN:

regressionstatisticssubset-selection

1 exports 1.15 score 1 dependencies 1 scripts 844 downloads

Last updated 4 months agofrom:18a1a20f3f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 27 2024
R-4.5-winOKAug 27 2024
R-4.5-linuxOKAug 27 2024
R-4.4-winOKAug 27 2024
R-4.4-macOKAug 27 2024
R-4.3-winOKAug 27 2024
R-4.3-macOKAug 27 2024

Exports:fastbackward

Dependencies:MASS