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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

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)

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