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SAM (version 1.2)

Sparse Additive Modelling

Description

Computationally efficient tools for high dimensional predictive modeling (regression and classification). SAM is short for sparse additive modeling, and adopts the computationally efficient basis spline technique. We solve the optimization problems by various computational algorithms including the block coordinate descent algorithm, fast iterative soft-thresholding algorithm, and newton method. The computation is further accelerated by warm-start and active-set tricks.

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Version

Install

install.packages('SAM')

Monthly Downloads

286

Version

1.2

License

GPL-2

Maintainer

Tuo Zhao

Last Published

February 19th, 2026

Functions in SAM (1.2)

print.samLL

Printing function for S3 class "samLL"
predict.samHL

Prediction function for S3 class "samHL"
SAM-package

Sparse Additive Modelling
plot.samLL

Plot function for S3 class "samLL"
predict.samEL

Prediction function for S3 class "samEL"
plot.samQL

Plot function for S3 class "samQL"
plot.samEL

Plot function for S3 class "samEL"
plot.samHL

Plot function for S3 class "samHL"
predict.samQL

Prediction function for S3 class "samQL"
print.samEL

Printing function for S3 class "samEL"
samQL

Training function of Sparse Additive Regression with Quadratic Loss
print.samHL

Printing function for S3 class "samHL"
predict.samLL

Prediction function for S3 class "samLL"
print.samQL

Printing function for S3 class "samQL"
samEL

Training function of Sparse Additive Poisson Regression
samLL

Training function of Sparse Additive Logistic Regression
samHL

Training function of Sparse Additive Hinge-Loss Classifier