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GAMBoost (version 1.2-3)
Generalized linear and additive models by likelihood based boosting
Description
This package provides routines for fitting generalized linear and and generalized additive models by likelihood based boosting, using penalized B-splines
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Link to current version
Version
Version
1.2-3
Install
install.packages('GAMBoost')
Monthly Downloads
26
Version
1.2-3
License
GPL (>= 2)
Maintainer
Harald Binder
Last Published
May 10th, 2013
Functions in GAMBoost (1.2-3)
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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