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msir (version 1.3.2)

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

361

Version

1.3.2

License

GPL (>= 2)

Maintainer

Luca Scrucca

Last Published

March 15th, 2019

Functions in msir (1.3.2)

msir.slices

Slice a vector into slices of approximately equal size
plot.msir

Plot method for 'msir' objects.
summary.msir

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

BIC-type criterion for dimensionality
msir.nslices

Default number of slices
loess.sd

Local Polynomial Regression Fitting with Variability bands
msir.permutation.test

Permutation test for dimensionality
msir.regularizedSigma

Regularized estimate of predictors covariance matrix.
msir-internal

Internal 'msir' functions
predict.msir

Model-based Sliced Inverse Regression directions
spinplot

Rotating three-dimensional plot
msir-package

Model-based Sliced Inverse Regression (MSIR)
msir

Model-based Sliced Inverse Regression (MSIR)