pSIR: Partial Sliced Inverse Regression

In abnormally-distributed/cvreg: Cross Validation and Robust Estimation Utilities

Description

Partial Sliced Inverse Regression

Usage

pSIR(
  fo,
  cat.fo,
  data,
  slices = 6,
  rank = "all",
  ytype = c("numeric", "categorical")
)

Arguments

fo	model formula
cat.fo	a formula of the form "~categorical" with no left hand side, with the name of the categorical predictor over which partial subspaces will be integrated.
data	a data frame
slices	the number of slices into which the response variable should be split. defaults to 5. for categorical response variables the maximum allowed is the number of response levels minus one. if set above this, it is silently adjusted.
rank	the desired number of sufficient predictors to return. the default is "all".
ytype	either numeric or categorical

Value

an sdr object

abnormally-distributed/cvreg documentation built on May 3, 2020, 3:45 p.m.