predict.crrQR: Estimate subdistribution functions from crrQR output

Description

predict method for crrQR

Usage

## S3 method for class 'crrQR':
predict(object, x, \dots)

Arguments

object

output from crrQR

vector of covariate values for which the conditional distribution function is to be estimated. The columns of x must be named the same as in the original call to crrQR. Each must be given if present in the original call to crrQR.

...

add rearrangement=TRUE to perform a rearrangement of the predicted probabilities as suggested in Chernozhukov V, Fernández-Val I and Galichon A (2010).

Value

Returns a matrix with the unique type 1 failure times in the first column, and the other columns giving the estimated subdistribution function corresponding to the covariate combinations in the rows of x, at each failure time (the value that the estimate jumps to at that failure time).

encoding

UTF-8

Details

Computes the conditional estimate given values of covariates from $sup(\tau: \tau \leq \zeta_{x,j}^{-1}[\ln(t)])$, for $\zeta_{x,j}(\tau) = x'\beta_j(\tau)$ (see Dlugosz S, Lo S and Wilke RA (2014) for details)

References

Chernozhukov V, Fernández-Val I and Galichon A (2010) Quantile and probability curves without crossing. Econometrica 78, 1093-1125.

Dlugosz S, Lo S, Wilke RA (2014) Competing risks quantile regression at work: In-depth exploration of the role of public child support for the duration of maternity leave. unpublished.