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msir  

Model-Based Sliced Inverse Regression
View on CRAN: Click here


Download and install msir package within the R console
Install from CRAN:
install.packages("msir")

Install from Github:
library("remotes")
install_github("cran/msir")

Install by package version:
library("remotes")
install_version("msir", "1.4")



Attach the package and use:
library("msir")
Maintained by
Luca Scrucca
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-05-10
Latest Update: 2020-12-16
Description:
An R package for dimension reduction based on finite Gaussian mixture modeling of inverse regression.
How to cite:
Luca Scrucca (2011). msir: Model-Based Sliced Inverse Regression. R package version 1.4, https://cran.r-project.org/web/packages/msir. Accessed 27 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:33), 1.0 (2011-05-10 06:00), 1.1 (2012-05-30 09:22), 1.2 (2012-08-10 18:50), 1.3.1 (2016-04-07 14:06), 1.3.2 (2019-03-15 09:40), 1.3.3 (2020-12-16 13:20), 1.3 (2014-02-24 11:22)
Other packages that cited msir R package
View msir citation profile
Other R packages that msir depends, imports, suggests or enhances
Complete documentation for msir
Functions, R codes and Examples using the msir R package
Some associated functions: loess.sd . msir-internal . msir-package . msir.bic . msir.nslices . msir . msir.permutation.test . msir.regularizedSigma . msir.slices . plot.msir . predict.msir . splinplot . summary.msir . 
Some associated R codes: dimsel.R . loess.sd.R . msir.R . plot.R . spinplot.R . util.R . zzz.R .  Full msir package functions and examples
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