pPIR: Partial Parametric Inverse Regression

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

Description

Partial Parametric Inverse Regression

Usage

pPIR(fo, cat.fo, data, rank = "all", df = 3, sm = c("cr", "ns", "bs", "poly"))

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
rank	the desired number of sufficient predictors to return. the default is "all".
df	the tuning parameter used for the parametric inverse regression. defaults to 3.
sm	the smoother function to be used. one of cubic regression splines ("cr", the default), basis splines ("bs"), or natural splines ("ns"), or orthogonal polynomials ("poly").

Value

an sdr object

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