predict: Plot method

In causalTLSE: Thresholding Least Squares Inference for Causal Effects

Plot method

Description

The method computes the predicted outcome for each group with standard errors and confidence intervals.

Usage

## S3 method for class 'tlse'
predict(object, interval=c("none","confidence"),
                       se.fit=FALSE, newdata=NULL, level=0.95,
                       vcov.=NULL, ...)

Arguments

object	Object of class tlse.
interval	If set to interval, it returns the predicted values along with the lower and upper bounds of the confidence interval.
se.fit	Shoud the function returns the standard error of the predicted values?
level	The confidence interval level if interval is set to confidence.
newdata	A data.frame of new data. It must include values for all covariates.
vcov.	An alternative function to compute the covariance matrix of the least squares estimates. The default vcov method for lm objects.
...	Additional argument to pass to the vcov. function.

Examples

data(simData)
mod <- setModel(Y~Z|~X1+X2, data=simData)
fit <- tlse(mod, seType="lm", vcov.=sandwich::vcovHC, type="HC")
pr <- predict(fit, interval="confidence")

causalTLSE documentation built on March 31, 2023, 3:07 p.m.