sclr: Scaled Logistic Regression (original) (raw)
Maximum likelihood estimation of the scaled logit model parameters proposed in Dunning (2006) <doi:10.1002/sim.2282>.
Version: | 0.3.1 |
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Depends: | R (≥ 3.6.0) |
Imports: | broom, tibble, dplyr, rlang, stats, purrr |
Suggests: | knitr, rmarkdown, testthat (≥ 2.1.0) |
Published: | 2020-03-02 |
DOI: | 10.32614/CRAN.package.sclr |
Author: | Arseniy Khvorov [aut, cre] |
Maintainer: | Arseniy Khvorov |
License: | MIT + file |
URL: | https://khvorov45.github.io/sclr/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | sclr results |
Documentation:
Reference manual: | sclr.pdf |
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Vignettes: | Model specification, log-likelihood, scores and second derivatives Usage |
Downloads:
Package source: | sclr_0.3.1.tar.gz |
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Windows binaries: | r-devel: sclr_0.3.1.zip, r-release: sclr_0.3.1.zip, r-oldrel: sclr_0.3.1.zip |
macOS binaries: | r-release (arm64): sclr_0.3.1.tgz, r-oldrel (arm64): sclr_0.3.1.tgz, r-release (x86_64): sclr_0.3.1.tgz, r-oldrel (x86_64): sclr_0.3.1.tgz |
Old sources: | sclr archive |
Linking:
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