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
Author: Gurbakhshash Singh and Gordon Hilton Fick
Maintainer: Gurbakhshash Singh <gsingh at ccsu.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: lcpm results

Downloads:

Reference manual: lcpm.pdf
Package source: lcpm_0.1.1.tar.gz
Windows binaries: r-devel: lcpm_0.1.1.zip, r-devel-gcc8: lcpm_0.1.1.zip, r-release: lcpm_0.1.1.zip, r-oldrel: lcpm_0.1.1.zip
OS X binaries: r-release: lcpm_0.1.1.tgz, r-oldrel: lcpm_0.1.1.tgz
Old sources: lcpm archive

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