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) and Hanmer and Ozan Kalkan (2016) .


Reference manual

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0.0.8 by Manuel Neumann, 3 months ago

Browse source code at

Authors: Manuel Neumann [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports MASS, stats

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

See at CRAN