logitchoice: Fitting l2-regularized logit choice models via generalized gradient descent
Version 0.9.4

Fits linear discrete logit choice models with l2 regularization. To handle reasonably sized datasets, we employ an accelerated version of generalized gradient descent.

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AuthorMichael Lim
Date of publication2014-09-03 07:28:49
MaintainerMichael Lim <michael626@gmail.com>
LicenseGPL-2
Version0.9.4
URL
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("logitchoice")

Man pages

coef.logitchoice: Return estimated coefficients from fitted logitchoice object.
logitchoice: Fit a logit choice model with l2 regularization on the...
predict.logitchoice: Make predictions from a "logitchoice" object.

Functions

coef.logitchoice Man page Source code
logitchoice Man page Source code
predict.logitchoice Man page Source code
test_compute_gradient Source code
test_compute_probabilities Source code
test_logitchoice Source code
test_solver Source code

Files

src
src/mle_r.c
src/Makevars
src/mle.c
NAMESPACE
R
R/logitchoice.r
R/coef.logitchoice.r
R/predict.logitchoice.r
R/tests.r
MD5
DESCRIPTION
man
man/predict.logitchoice.Rd
man/coef.logitchoice.Rd
man/logitchoice.Rd
logitchoice documentation built on May 19, 2017, 9:25 a.m.