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spls (version 2.1-2)

Sparse Partial Least Squares (SPLS) Regression and Classification

Description

This package provides functions for fitting a Sparse Partial Least Squares Regression and Classification

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Version

Install

install.packages('spls')

Monthly Downloads

10,814

Version

2.1-2

License

GPL (>= 2)

Maintainer

Dongjun Chung

Last Published

June 10th, 2012

Functions in spls (2.1-2)

predict.sgpls

Make predictions or extract coefficients from a fitted SGPLS model

mice

Mice Dataset

prostate

Prostate Tumor Gene Expression Dataset

lymphoma

Lymphoma Gene Expression Dataset

spls

Fit SPLS regression models

predict.spls

Make predictions or extract coefficients from a fitted SPLS model

cv.spls

Compute and plot cross-validated mean squared prediction error for SPLS regression

splsda

Fit SPLSDA classification models

print.spls

Print function for a SPLS object

ci.spls

Calculate bootstrapped confidence intervals of SPLS coefficients

print.splsda

Print function for a SPLSDA object

cv.splsda

Compute and plot cross-validated error for SPLSDA classification

plot.spls

Plot the coefficient path of SPLS regression

coefplot.spls

Plot estimated coefficients of the SPLS object

yeast

Yeast Cell Cycle Dataset

cv.sgpls

Compute and plot the cross-validated error for SGPLS classification

predict.splsda

Make predictions or extract coefficients from a fitted SPLSDA model

sgpls

Fit SGPLS classification models

correct.spls

Correct the initial SPLS coefficient estimates based on bootstrapped confidence intervals

print.sgpls

Print function for a SGPLS object

spls-internal

Internal SPLS functions