R: Model-Based Sliced Inverse Regression

# Model-Based Sliced Inverse Regression

## Documentation for package ‘msir’ version 1.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

msir-package | Model-based Sliced Inverse Regression (MSIR)
bicDimRed | BIC-type criterion for dimensionality
loess.sd | Local Polynomial Regression Fitting with Variability bands
msir | Model-based Sliced Inverse Regression (MSIR)
msir.bic | BIC-type criterion for dimensionality
msir.nslices | Default number of slices
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
panel.loess | Local Polynomial Regression Fitting with Variability bands
plot.msir | Plot method for "msir" objects.
predict.msir | Model-based Sliced Inverse Regression directions
print.msir | Model-based Sliced Inverse Regression (MSIR)
print.summary.msir | Summary and print methods for "msir" objects
spinplot | Rotating three-dimensional plot
summary.msir | Summary and print methods for "msir" objects