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

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

Author
Michael Lim
Date of publication
2014-09-03 07:28:49
Maintainer
Michael Lim <michael626@gmail.com>
License
GPL-2
Version
0.9.4
URLs

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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.

Files in this package

logitchoice
logitchoice/src
logitchoice/src/mle_r.c
logitchoice/src/Makevars
logitchoice/src/mle.c
logitchoice/NAMESPACE
logitchoice/R
logitchoice/R/logitchoice.r
logitchoice/R/coef.logitchoice.r
logitchoice/R/predict.logitchoice.r
logitchoice/R/tests.r
logitchoice/MD5
logitchoice/DESCRIPTION
logitchoice/man
logitchoice/man/predict.logitchoice.Rd
logitchoice/man/coef.logitchoice.Rd
logitchoice/man/logitchoice.Rd