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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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Install
install.packages('spls')
Monthly Downloads
3,751
Version
2.1-3
License
GPL (>= 2)
Maintainer
ORPHANED
Last Published
July 1st, 2013
Functions in spls (2.1-3)
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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