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lcpm: Ordinal Outcomes: Generalized Linear Models with the Log Link

An implementation of the Log Cumulative Probability Model (LCPM) and Proportional Probability Model (PPM) for which the Maximum Likelihood Estimates are determined using constrained optimization. This implementation accounts for the implicit constraints on the parameter space. Other features such as standard errors, z tests and p-values use standard methods adapted from the results based on constrained optimization.

Version: 0.1.1
Depends: plyr (≥ 1.8.4), numDeriv (≥ 2016.8-1), Matrix (≥ 1.2-11), stats (≥ 3.4.2)
Published: 2020-01-09
DOI: 10.32614/CRAN.package.lcpm
Author: Gurbakhshash Singh and Gordon Hilton Fick
Maintainer: Gurbakhshash Singh <gsingh at ccsu.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: lcpm results

Documentation:

Reference manual: lcpm.pdf

Downloads:

Package source: lcpm_0.1.1.tar.gz
Windows binaries: r-devel: lcpm_0.1.1.zip, r-release: lcpm_0.1.1.zip, r-oldrel: lcpm_0.1.1.zip
macOS binaries: r-release (arm64): lcpm_0.1.1.tgz, r-oldrel (arm64): lcpm_0.1.1.tgz, r-release (x86_64): lcpm_0.1.1.tgz, r-oldrel (x86_64): lcpm_0.1.1.tgz
Old sources: lcpm archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.