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: | 0.0.3 |
| Depends: | R (≥ 3.5.0) |
| Imports: | MASS, stats |
| Suggests: | knitr, rmarkdown, testthat, nnet, magrittr, ggplot2, scales |
| Published: | 2020-07-02 |
| 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 |
| Reference manual: | MNLpred.pdf |
| Vignettes: |
Observed Value Predictions for Multinomial Logit Models |
| Package source: | MNLpred_0.0.3.tar.gz |
| Windows binaries: | r-devel: MNLpred_0.0.3.zip, r-release: MNLpred_0.0.3.zip, r-oldrel: MNLpred_0.0.3.zip |
| macOS binaries: | r-release: MNLpred_0.0.3.tgz, r-oldrel: MNLpred_0.0.3.tgz |
| Old sources: | MNLpred archive |
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