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)
MNLpred_0.0.8.tgz(r-4.4-any)MNLpred_0.0.8.tgz(r-4.3-any)
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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'))

Peer review:

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

Datasets:
  • gles - German Longitudinal Election Study

On CRAN:

4.98 score 12 stars 16 scripts 261 downloads 3 exports 1 dependencies

Last updated 3 years agofrom:119672dcff. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-winNOTEOct 29 2024
R-4.5-linuxNOTEOct 29 2024
R-4.4-winOKOct 29 2024
R-4.4-macOKOct 29 2024
R-4.3-winOKOct 29 2024
R-4.3-macOKOct 29 2024

Exports:mnl_fd_ovamnl_fd2_ovamnl_pred_ova

Dependencies:MASS

Observed Value Predictions for Multinomial Logit Models

Rendered fromOVA_Predictions_For_MNL.Rmdusingknitr::rmarkdownon Oct 29 2024.

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