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msir (version 1.0)
Model-based Sliced Inverse Regression
Description
An R package for dimension reduction based on Gaussian finite mixture models as an extension to sliced inverse regression (SIR).
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Version
1.3.3
1.3.2
1.3.1
1.2
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1.0
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Install
install.packages('msir')
Monthly Downloads
270
Version
1.0
License
GPL (>= 2)
Maintainer
Luca Scrucca
Last Published
May 10th, 2011
Functions in msir (1.0)
Search functions
msir.bic
BIC-type criterion for dimensionality
loess.sd
Local Polynomial Regression Fitting with Variability bands
msir.dir
Model-based Sliced Inverse Regression directions
msir-internal
Internal
'msir'
functions
msir
MSIR -- Model-based Sliced Inverse Regression
msir.regularizedSigma
Regularized estimate of predictors covariance matrix.
plot.msir
Plot method for
'msir'
objects.
summary.msir
Model-based Sliced Inverse Regression
msir.permutation.test
Permutation test for dimensionality
msir.nslices
Default number of slices
msir-package
Model-based Sliced Inverse Regression
msir.slices
Slice a vector into slices of approximately equal size