| 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 |