coef.hxlr: Methods for Fitted hxlr Models

In crch: Censored Regression with Conditional Heteroscedasticity

Methods for Fitted hxlr Models

Description

Methods for extracting information from fitted hxlr objects.

Usage

## S3 method for class 'hxlr'
coef(object, model = c("full", "intercept", "location", "scale"),
  type = c("CLM", "latent"), ...)
## S3 method for class 'hxlr'
vcov(object, model = c("full", "intercept", "location", "scale"), 
  type = c("CLM", "latent"), ...)
## S3 method for class 'hxlr'
terms(x, model = c("full", "location", "scale"), ...)

Arguments

object, x	an object of class "hxlr".
model	model for which coefficients shall be returned.
type	type of coefficients. Default are CLM type coefficients. For type "latent" coefficients are converted in coefficients for location and scale of the latent distribution (analog to crch models).
...	further arguments passed to or from other methods.

Details

In addition to the methods above, a set of standard extractor functions for "hxlr" objects is available, including methods to the generic functions print, summary, and logLik.

See Also

hxlr

crch documentation built on April 4, 2025, 3:29 a.m.