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spls (version 2.1-3)

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

2.1-3

License

GPL (>= 2)

Maintainer

ORPHANED

Last Published

July 1st, 2013

Functions in spls (2.1-3)

lymphoma

Lymphoma Gene Expression Dataset

print.spls

Print function for a SPLS object

spls

Fit SPLS regression models

cv.sgpls

Compute and plot the cross-validated error for SGPLS classification

print.splsda

Print function for a SPLSDA object

sgpls

Fit SGPLS classification models

mice

Mice Dataset

predict.spls

Make predictions or extract coefficients from a fitted SPLS model

yeast

Yeast Cell Cycle Dataset

coefplot.spls

Plot estimated coefficients of the SPLS object

spls-internal

Internal SPLS functions

ci.spls

Calculate bootstrapped confidence intervals of SPLS coefficients

plot.spls

Plot the coefficient path of SPLS regression

prostate

Prostate Tumor Gene Expression Dataset

print.sgpls

Print function for a SGPLS object

cv.spls

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

correct.spls

Correct the initial SPLS coefficient estimates based on bootstrapped confidence intervals

predict.sgpls

Make predictions or extract coefficients from a fitted SGPLS model

cv.splsda

Compute and plot cross-validated error for SPLSDA classification

splsda

Fit SPLSDA classification models

predict.splsda

Make predictions or extract coefficients from a fitted SPLSDA model