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msir (version 1.3.3)
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
Version
1.3.3
1.3.2
1.3.1
1.2
1.1
1.0
Install
install.packages('msir')
Monthly Downloads
311
Version
1.3.3
License
GPL (>= 2)
Maintainer
Luca Scrucca
Last Published
December 16th, 2020
Functions in msir (1.3.3)
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msir.slices
Slice a vector into slices of approximately equal size
loess.sd
Local Polynomial Regression Fitting with Variability bands
plot.msir
Plot method for
'msir'
objects.
msir.permutation.test
Permutation test for dimensionality
msir.nslices
Default number of slices
msir-package
Model-based Sliced Inverse Regression (MSIR)
msir.bic
BIC-type criterion for dimensionality
msir
Model-based Sliced Inverse Regression (MSIR)
msir-internal
Internal
'msir'
functions
msir.regularizedSigma
Regularized estimate of predictors covariance matrix.
summary.msir
Summary and print methods for
'msir'
objects
spinplot
Rotating three-dimensional plot
predict.msir
Model-based Sliced Inverse Regression directions