polSelect: Polynomial selection methods.

In causalOTLSE: Optimal Thresholding Least Squares Inference for Causal Effects

Polynomial selection methods.

Description

This is a collection of methods to select the piecewise polynomials.

Usage

selASY(X, Y, Z, pFact=0.3, splineMet=c("manual","bs"))
selIC(X, Y, Z, pFact=0.3, type=c("AIC", "BIC"), splineMet=c("manual","bs"))
selCV(X, Y, Z, pFact=0.3, splineMet=c("manual","bs"))

Arguments

X	A vector of covariates
Y	A vector of observed outcomes
Z	A vector of treatment indicators
pFact	The maximum number of knots when the argument knots is set to NA if n^pFact, where n is the length of X.
type	The type of informatrion criterion
splineMet	Should the method be homemade (manual) of based on the bs function from the splines package?

causalOTLSE documentation built on June 9, 2022, 3:02 a.m.