otlse: Optimal Thresholding Least Squares

In causalOTLSE: Optimal Thresholding Least Squares Inference for Causal Effects

Optimal Thresholding Least Squares

Description

This is the main function to estimate the causal effects using the optimal thresholding least squares method.

Usage

otlse(X, Y, Z, crit = c("ASY", "AIC", "BIC", "CV"),
      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
crit	The method to select the piecewise polynomial knots.
pFact	The maximum number of knots when the argument knots is set to NA if n^pFact, where n is the length of X.
splineMet	Should the method be homemade (manual) of based on the bs function from the splines package?

Examples

data(simData)
fit <- otlse(simData$X, simData$Y, simData$Z) 
fit

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