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) .


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Reference manual

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install.packages("MNLpred")

0.0.2 by Manuel Neumann, 3 months ago


Browse source code at https://github.com/cran/MNLpred


Authors: Manuel Neumann [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports MASS, stats

Suggests knitr, rmarkdown, testthat, foreign, nnet, magrittr, ggplot2, scales


See at CRAN