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mlogitBMA
View on CRAN: Click
here
Download and install mlogitBMA package within the R console
Install from CRAN:
install.packages("mlogitBMA")
Install from Github:
library("remotes")
install_github("cran/mlogitBMA") Install by package version:
library("remotes")
install_version("mlogitBMA", "0.1-9") Attach the package and use:
library("mlogitBMA")
Maintained by
Hana Sevcikova
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-04-13
Latest Update: 2024-10-17
Description:
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.
How to cite:
Hana Sevcikova (2010). mlogitBMA: Bayesian Model Averaging for Multinomial Logit Models. R package version 0.1-9, https://cran.r-project.org/web/packages/mlogitBMA. Accessed 05 Mar. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for mlogitBMA
Functions, R codes and Examples using
the mlogitBMA R package
Some associated functions: bic.mlogit . estimate.mlogit . heating . mlogit2logit . mlogitBMA-internal . mlogitBMA-package . mnl.spec . summary.bic.mlogit . summary.mnl . summary.mnl.spec .
Some associated R codes: bic.glm.bg.R . bic.mogit.R . estimate.mlogit.R . mlogit2logit.R . mnl.R . mnl.spec.R . Full mlogitBMA package functions and examples
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