MNLpred: Simulated Predicted Probabilities for Multinomial Logit Models

Functions to easily return simulated predicted probabilities and first differences for multinomial logit models. It takes a specified scenario and a multinomial model to predict probabilities with a set of coefficients, drawn from a simulated sampling distribution. The simulated predictions allow for meaningful plots with means and confidence intervals. The methodological approach is based on the principles laid out by King, Tomz, and Wittenberg (2000) <doi:10.2307/2669316> and Hanmer and Ozan Kalkan (2016) <doi:10.1111/j.1540-5907.2012.00602.x>.

Version:	0.0.8
Depends:	R (≥ 3.5.0)
Imports:	MASS, stats
Suggests:	knitr, rmarkdown, testthat, nnet, magrittr, ggplot2, scales
Published:	2021-07-16
DOI:	10.32614/CRAN.package.MNLpred
Author:	Manuel Neumann [aut, cre]
Maintainer:	Manuel Neumann <manuel.neumann at mzes.uni-mannheim.de>
License:	GPL-3
NeedsCompilation:	no
Citation:	MNLpred citation info
Materials:	README NEWS
CRAN checks:	MNLpred results

Documentation:

Reference manual:	MNLpred.pdf
Vignettes:	Observed Value Predictions for Multinomial Logit Models

Downloads:

Package source:	MNLpred_0.0.8.tar.gz
Windows binaries:	r-devel: MNLpred_0.0.8.zip, r-release: MNLpred_0.0.8.zip, r-oldrel: MNLpred_0.0.8.zip
macOS binaries:	r-release (arm64): MNLpred_0.0.8.tgz, r-oldrel (arm64): MNLpred_0.0.8.tgz, r-release (x86_64): MNLpred_0.0.8.tgz, r-oldrel (x86_64): MNLpred_0.0.8.tgz
Old sources:	MNLpred archive

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