msir: Model-Based Sliced Inverse Regression

Share:

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

Author
Luca Scrucca <luca@stat.unipg.it>
Date of publication
2016-04-07 14:06:05
Maintainer
Luca Scrucca <luca@stat.unipg.it>
License
GPL (>= 2)
Version
1.3.1

View on CRAN

Man pages

loess.sd
Local Polynomial Regression Fitting with Variability bands
msir
Model-based Sliced Inverse Regression (MSIR)
msir.bic
BIC-type criterion for dimensionality
msir.dir
Model-based Sliced Inverse Regression directions
msir-internal
Internal "msir" functions
msir.nslices
Default number of slices
msir-package
Model-based Sliced Inverse Regression (MSIR)
msir.permutation.test
Permutation test for dimensionality
msir.regularizedSigma
Regularized estimate of predictors covariance matrix.
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

Files in this package

msir
msir/inst
msir/inst/CITATION
msir/inst/NEWS
msir/NAMESPACE
msir/R
msir/R/loess.sd.R
msir/R/msir.R
msir/R/zzz.R
msir/MD5
msir/DESCRIPTION
msir/man
msir/man/msir.slices.Rd
msir/man/msir.bic.Rd
msir/man/msir-internal.Rd
msir/man/summary.msir.Rd
msir/man/loess.sd.Rd
msir/man/msir-package.Rd
msir/man/msir.Rd
msir/man/msir.dir.Rd
msir/man/msir.nslices.Rd
msir/man/plot.msir.Rd
msir/man/msir.permutation.test.Rd
msir/man/msir.regularizedSigma.Rd