GAMBoost v1.2-3

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Generalized linear and additive models by likelihood based boosting

This package provides routines for fitting generalized linear and and generalized additive models by likelihood based boosting, using penalized B-splines

Functions in GAMBoost

Name Description
optimGLMBoostPenalty Coarse line search for adequate GLMBoost penalty parameter
estimPVal Estimate p-values for a model fitted by GAMBoost or GLMBoost
optimStepSizeFactor Coarse line search for optimum step-size modification factor
getGAMBoostSelected Identify selected/significant covariates from a GAMBoost object
cv.GLMBoost Cross-validation for GLMBoost fits
cv.GAMBoost Cross-validation for GAMBoost fits
optimGAMBoostPenalty Coarse line search for adequate GAMBoost penalty parameter
GLMBoost Generalized linear model by likelihood based boosting
GAMBoost Generalized additive model by likelihood based boosting
plot.GAMBoost Plots of the smooth functions from a GAMBoost fit
predict.GLMBoost Predict method for GLMBoost fits
predict.GAMBoost Predict method for GAMBoost fits
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Details

License GPL (>= 2)
Packaged 2013-05-10 08:27:48 UTC; harald
NeedsCompilation yes
Repository CRAN
Date/Publication 2013-05-10 13:49:07

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