Package: leaps 3.2

leaps: Regression Subset Selection

Regression subset selection, including exhaustive search.

Authors:Thomas Lumley based on Fortran code by Alan Miller

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leaps.pdf |leaps.html
leaps/json (API)
NEWS

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

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2 exports 8 stars 10.24 score 0 dependencies 162 dependents 28 mentions 4.2k scripts 106.4k downloads

Last updated 4 months agofrom:64e219d7bf. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 10 2024
R-4.5-win-x86_64OKOct 10 2024
R-4.5-linux-x86_64OKOct 10 2024
R-4.4-win-x86_64OKOct 10 2024
R-4.4-mac-x86_64OKOct 10 2024
R-4.4-mac-aarch64OKOct 10 2024
R-4.3-win-x86_64OKOct 10 2024
R-4.3-mac-x86_64OKOct 10 2024
R-4.3-mac-aarch64OKOct 10 2024

Exports:leapsregsubsets

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
all-subsets regressiomleaps
Internal functions for leaps(), subsets()leaps.backward leaps.exhaustive leaps.forward leaps.seqrep leaps.setup
Graphical table of best subsetsplot.regsubsets
functions for model selectioncoef.regsubsets print.regsubsets print.summary.regsubsets regsubsets regsubsets.biglm regsubsets.default regsubsets.formula summary.regsubsets vcov.regsubsets