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msir (version 1.1)
Model-based Sliced Inverse Regression
Description
An R package for dimension reduction based on finite Gaussian mixture modeling of inverse regression.
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Version
1.3.3
1.3.2
1.3.1
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1.0
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Install
install.packages('msir')
Monthly Downloads
311
Version
1.1
License
GPL (>= 2)
Maintainer
Luca Scrucca
Last Published
May 30th, 2012
Functions in msir (1.1)
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msir-internal
Internal
'msir'
functions
msir.permutation.test
Permutation test for dimensionality
loess.sd
Local Polynomial Regression Fitting with Variability bands
summary.msir
Summary and print methods for
'msir'
objects
plot.msir
Plot method for
'msir'
objects.
msir
MSIR -- Model-based Sliced Inverse Regression
msir.nslices
Default number of slices
msir.bic
BIC-type criterion for dimensionality
msir.slices
Slice a vector into slices of approximately equal size
msir.regularizedSigma
Regularized estimate of predictors covariance matrix.
msir.dir
Model-based Sliced Inverse Regression directions