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spls (version 2.2-1)
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
2.2-2
2.2-1
2.1-3
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2.1-1
2.1-0
1.1-0
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1.0-1
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Install
install.packages('spls')
Monthly Downloads
3,751
Version
2.2-1
License
GPL (>= 2)
Maintainer
Valentin Todorov
Last Published
August 21st, 2013
Functions in spls (2.2-1)
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cv.sgpls
Compute and plot the cross-validated error for SGPLS classification
predict.sgpls
Make predictions or extract coefficients from a fitted SGPLS model
splsda
Fit SPLSDA classification models
cv.splsda
Compute and plot cross-validated error for SPLSDA classification
lymphoma
Lymphoma Gene Expression Dataset
spls-internal
Internal SPLS functions
ci.spls
Calculate bootstrapped confidence intervals of SPLS coefficients
prostate
Prostate Tumor Gene Expression Dataset
print.spls
Print function for a SPLS object
plot.spls
Plot the coefficient path of SPLS regression
mice
Mice Dataset
spls
Fit SPLS regression models
predict.spls
Make predictions or extract coefficients from a fitted SPLS model
coefplot.spls
Plot estimated coefficients of the SPLS object
sgpls
Fit SGPLS classification models
correct.spls
Correct the initial SPLS coefficient estimates based on bootstrapped confidence intervals
predict.splsda
Make predictions or extract coefficients from a fitted SPLSDA model
cv.spls
Compute and plot cross-validated mean squared prediction error for SPLS regression
yeast
Yeast Cell Cycle Dataset
print.sgpls
Print function for a SGPLS object
print.splsda
Print function for a SPLSDA object