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scam (version 1.1-2)

Shape constrained additive models

Description

Routines for generalized additive modelling under shape constraints on the component functions of the linear predictor. Models can contain multiple shape constrained (univariate and/or bivariate) and unconstrained terms. The routines of mgcv(gam) package are used for setting up the model matrix, printing and plotting the results. Penalized likelihood maximization based on Newton-Raphson method is used to fit a model with multiple smoothing parameter selection by GCV or UBRE/AIC.

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Install

install.packages('scam')

Monthly Downloads

5,436

Version

1.1-2

License

GPL (>= 2)

Maintainer

Last Published

August 5th, 2012

Functions in scam (1.1-2)