sclr: Scaled Logistic Regression

Maximum likelihood estimation of the scaled logit model parameters proposed in Dunning (2006) <doi:10.1002/sim.2282>.

Version: 0.3.0
Depends: R (≥ 3.6.0)
Imports: broom, tibble, dplyr, rlang, stats
Suggests: knitr, rmarkdown, testthat (≥ 2.1.0)
Published: 2019-11-26
Author: Arseniy Khvorov [aut, cre]
Maintainer: Arseniy Khvorov <khvorov45 at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: sclr results

Downloads:

Reference manual: sclr.pdf
Vignettes: Model specification, log-likelihood, scores and second derivatives
Usage
Package source: sclr_0.3.0.tar.gz
Windows binaries: r-devel: sclr_0.3.0.zip, r-devel-gcc8: sclr_0.3.0.zip, r-release: sclr_0.3.0.zip, r-oldrel: not available
OS X binaries: r-release: sclr_0.3.0.tgz, r-oldrel: not available
Old sources: sclr archive

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