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spls (version 2.2-3)
Sparse Partial Least Squares (SPLS) Regression and Classification
Description
Provides functions for fitting a sparse partial least squares (SPLS) regression and classification (Chun and Keles (2010)
).
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Version
2.2-3
2.2-2
2.2-1
2.1-3
2.1-2
2.1-1
2.1-0
1.1-0
1.0-3
1.0-2
1.0-1
1.0-0
Install
install.packages('spls')
Monthly Downloads
5,876
Version
2.2-3
License
GPL (>= 2)
Maintainer
Valentin Todorov
Last Published
May 4th, 2019
Functions in spls (2.2-3)
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cv.spls
Compute and plot cross-validated mean squared prediction error for SPLS regression
prostate
Prostate Tumor Gene Expression Dataset
plot.spls
Plot the coefficient path of SPLS regression
predict.sgpls
Make predictions or extract coefficients from a fitted SGPLS model
print.spls
Print function for a SPLS object
print.sgpls
Print function for a SGPLS object
sgpls
Fit SGPLS classification models
yeast
Yeast Cell Cycle Dataset
spls-internal
Internal SPLS functions
predict.spls
Make predictions or extract coefficients from a fitted SPLS model
spls
Fit SPLS regression models
lymphoma
Lymphoma Gene Expression Dataset
splsda
Fit SPLSDA classification models
mice
Mice Dataset
predict.splsda
Make predictions or extract coefficients from a fitted SPLSDA model
print.splsda
Print function for a SPLSDA object
cv.splsda
Compute and plot cross-validated error for SPLSDA classification
ci.spls
Calculate bootstrapped confidence intervals of SPLS coefficients
coefplot.spls
Plot estimated coefficients of the SPLS object
correct.spls
Correct the initial SPLS coefficient estimates based on bootstrapped confidence intervals
cv.sgpls
Compute and plot the cross-validated error for SGPLS classification