Function reference • msir

All functions

loess.sd() panel.loess(): Local Polynomial Regression Fitting with Variability bands

msir-package: Model-based Sliced Inverse Regression (MSIR)

msir(): Model-based Sliced Inverse Regression (MSIR)

msir.bic() bicDimRed(): 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

plot(<msir>): Plot method for 'msir' objects.

predict(<msir>): Model-based Sliced Inverse Regression directions

spinplot(): Rotating three-dimensional plot

summary(<msir>) print(<summary.msir>): Summary and print methods for 'msir' objects