Package: mlogitBMA 0.1-9

Hana Sevcikova

mlogitBMA: Bayesian Model Averaging for Multinomial Logit Models

Provides a modified function bic.glm of the BMA package that can be applied to multinomial logit (MNL) data. The data is converted to binary logit using the Begg & Gray approximation. The package also contains functions for maximum likelihood estimation of MNL.

Authors:Hana Sevcikova [aut, cre], Adrian Raftery [aut]

mlogitBMA_0.1-9.tar.gz
mlogitBMA_0.1-9.tar.gz(r-4.5-noble)mlogitBMA_0.1-9.tar.gz(r-4.4-noble)
mlogitBMA_0.1-9.tgz(r-4.4-emscripten)mlogitBMA_0.1-9.tgz(r-4.3-emscripten)
mlogitBMA.pdf |mlogitBMA.html
mlogitBMA/json (API)

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

Peer review:

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.86 score 3 stars 12 scripts 262 downloads 2 mentions 5 exports 18 dependencies

Last updated 6 days agofrom:7819b5d040. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 18 2024
R-4.5-linux-x86_64OKOct 18 2024

Exports:bic.mlogitestimate.mlogitimageplot.mlogitmlogit2logitmnl.spec

Dependencies:abindBMADEoptimRdigestgenericsinlinelatticeleapsMatrixmaxLikmiscToolsmvtnormpcaPProbustbaserrcovsandwichsurvivalzoo

Conversion Details

Rendered fromconversion.Rnwusingutils::Sweaveon Oct 18 2024.

Last update: 2013-12-11
Started: 2013-12-11

Readme and manuals

Help Manual

Help pageTopics
Bayesian Model Averaging for Multinomial Logit ModelsmlogitBMA-package mlogitBMA
Bayesian Model Averaging for Multinomial Logit Modelsbic.mlogit
Multinomial Logit Estimationestimate.mlogit estimate.mlogit.bic.mlogit estimate.mlogit.formula estimate.mlogit.list estimate.mlogit.mnl.spec mnl
Heating Datasetheating
Converting Multinomial Logit Data into Binary Logit Datamlogit2logit
Specification Object of a Multinomial Logit Modelmnl.spec
Summary and Plotting Functionsimageplot.mlogit plot.bic.mlogit summary.bic.mlogit
Summary for Results of a Multinomial Logit Estimationsummary.mnl
Summary for a Specification Objectsummary.mnl.spec