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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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2.2-3
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Install
install.packages('spls')
Monthly Downloads
3,751
Version
2.1-2
License
GPL (>= 2)
Maintainer
Dongjun Chung
Last Published
June 10th, 2012
Functions in spls (2.1-2)
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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