Package: mlogitBMA 0.1-7

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, Adrian Raftery

mlogitBMA_0.1-7.tar.gz
mlogitBMA_0.1-7.zip(r-4.5)mlogitBMA_0.1-7.zip(r-4.4)mlogitBMA_0.1-7.zip(r-4.3)
mlogitBMA_0.1-7.tgz(r-4.4-x86_64)mlogitBMA_0.1-7.tgz(r-4.4-arm64)mlogitBMA_0.1-7.tgz(r-4.3-x86_64)mlogitBMA_0.1-7.tgz(r-4.3-arm64)
mlogitBMA_0.1-7.tar.gz(r-4.5-noble)mlogitBMA_0.1-7.tar.gz(r-4.4-noble)
mlogitBMA_0.1-7.tgz(r-4.4-emscripten)mlogitBMA_0.1-7.tgz(r-4.3-emscripten)
mlogitBMA.pdf |mlogitBMA.html✨
mlogitBMA/json (API)

Peer review:

Bug tracker:https://github.com/hanase/mlogitbma/issues

On CRAN:

5 exports 1.19 score 18 dependencies 2 mentions 12 scripts 287 downloads

Last updated 2 years agofrom:149fa4a893. Checks:OK: 9. Indexed: yes.

Exports:bic.mlogitestimate.mlogitimageplot.mlogitmlogit2logitmnl.spec

Dependencies:abindBMADEoptimRdigestgenericsinlinelatticeleapsMatrixmaxLikmiscToolsmvtnormpcaPProbustbaserrcovsandwichsurvivalzoo