Learn R Programming

msir (version 1.4)

Model-Based Sliced Inverse Regression

Description

An R package for dimension reduction based on finite Gaussian mixture modeling of inverse regression.

Copy Link

Version

Install

install.packages('msir')

Monthly Downloads

679

Version

1.4

License

GPL (>= 2)

Maintainer

Luca Scrucca

Last Published

January 10th, 2026

Functions in msir (1.4)

msir-package

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

Default number of slices
msir.regularizedSigma

Regularized estimate of predictors covariance matrix.
msir.slices

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

BIC-type criterion for dimensionality
loess.sd

Local Polynomial Regression Fitting with Variability bands
plot.msir

Plot method for 'msir' objects.
predict.msir

Model-based Sliced Inverse Regression directions
spinplot

Rotating three-dimensional plot
summary.msir

Summary and print methods for 'msir' objects
msir-internal

Internal 'msir' functions
msir

Model-based Sliced Inverse Regression (MSIR)
msir.permutation.test

Permutation test for dimensionality