Package: MNLpred 0.0.8

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>.

Authors:Manuel Neumann [aut, cre]

MNLpred_0.0.8.tar.gz
MNLpred_0.0.8.zip(r-4.5)MNLpred_0.0.8.zip(r-4.4)MNLpred_0.0.8.zip(r-4.3)
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MNLpred_0.0.8.tar.gz(r-4.5-noble)MNLpred_0.0.8.tar.gz(r-4.4-noble)
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MNLpred.pdf |MNLpred.html✨
MNLpred/json (API)
NEWS

# Install 'MNLpred' in R:
install.packages('MNLpred', repos = c('https://manuelneumann.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/manuelneumann/mnlpred/issues

Datasets:
  • gles - German Longitudinal Election Study

On CRAN:

Conda-Forge:

5.03 score 12 stars 18 scripts 305 downloads 1 mentions 3 exports 1 dependencies

Last updated 4 years agofrom:119672dcff. Checks:5 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 26 2025
R-4.5-winNOTEFeb 26 2025
R-4.5-macNOTEFeb 26 2025
R-4.5-linuxNOTEFeb 26 2025
R-4.4-winOKFeb 26 2025
R-4.4-macOKFeb 26 2025
R-4.3-winOKFeb 26 2025
R-4.3-macOKFeb 26 2025

Exports:mnl_fd_ovamnl_fd2_ovamnl_pred_ova

Dependencies:MASS

Observed Value Predictions for Multinomial Logit Models

Manuel Neumann

Rendered fromOVA_Predictions_For_MNL.Rmdusingknitr::rmarkdownon Feb 26 2025.

Last update: 2021-02-09
Started: 2019-10-15