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msir (version 1.3.1)

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

Install

install.packages('msir')

Monthly Downloads

271

Version

1.3.1

License

GPL (>= 2)

Maintainer

Luca Scrucca

Last Published

April 7th, 2016

Functions in msir (1.3.1)

plot.msir

Plot method for 'msir' objects.
msir.permutation.test

Permutation test for dimensionality
loess.sd

Local Polynomial Regression Fitting with Variability bands
msir-package

Model-based Sliced Inverse Regression (MSIR)
summary.msir

Summary and print methods for 'msir' objects
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
msir.nslices

Default number of slices
msir.bic

BIC-type criterion for dimensionality
msir

Model-based Sliced Inverse Regression (MSIR)
msir-internal

Internal 'msir' functions