predict.rendo.copula.correction: Predict method for Models using the Gaussian Copula Approach

In REndo: Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables

Predict method for Models using the Gaussian Copula Approach

Description

Predicted values based on linear models with endogenous regressors estimated using the gaussian copula.

Usage

## S3 method for class 'rendo.copula.correction'
predict(object, newdata, ...)

Arguments

object	Object of class inheriting from "rendo.copula.correction"
newdata	An optional data frame in which to look for variables with which to predict. If omitted, the fitted values are returned.
...	ignored, for consistency with the generic function.

Value

predict.copula.correction produces a vector of predictions

See Also

The model fitting function copulaCorrection

Examples

## Not run: 
data("dataCopCont")

c1 <- copulaCorrection(y~X1+X2+P|continuous(P), num.boots=10,
                       data=dataCopCont)

# returns the fitted values
predict(c1)

# using the data used for fitting also for predicting,
# correctly results in fitted values
all.equal(predict(c1, dataCopCont), fitted(c1)) # TRUE

## End(Not run)

REndo documentation built on July 3, 2024, 1:06 a.m.