Package: crch
Title: Censored Regression with Conditional Heteroscedasticity
Version: 1.0-4
Date: 2019-08-19
Authors@R: c(person(given = "Jakob", family = "Messner", role = c("aut", "cre"), email = "jakob.messner@posteo.net",
                    comment = c(ORCID = "0000-0002-1027-3673")),
             person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org",
                    comment = c(ORCID = "0000-0003-0918-3766")),
             person(given = "Reto", family = "Stauffer", role = "aut", email = "reto.stauffer@uibk.ac.at",
                    comment = c(ORCID = "0000-0002-3798-5507")))
Depends: R (>= 2.10.0)
Imports: stats, Formula, ordinal, sandwich, scoringRules
Suggests: glmx, lmtest, memisc
Description: Different approaches to censored or truncated regression with 
  conditional heteroscedasticity are provided. First, continuous 
  distributions can be used for the (right and/or left censored or truncated)
  response with separate linear predictors for the mean and variance. 
  Second, cumulative link models for ordinal data
  (obtained by interval-censoring continuous data) can be employed for
  heteroscedastic extended logistic regression (HXLR). In the latter type of
  models, the intercepts depend on the thresholds that define the intervals. 
License: GPL-2 | GPL-3
NeedsCompilation: yes
Packaged: 2019-09-02 18:22:47 UTC; jakob
Author: Jakob Messner [aut, cre] (<https://orcid.org/0000-0002-1027-3673>),
  Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>),
  Reto Stauffer [aut] (<https://orcid.org/0000-0002-3798-5507>)
Maintainer: Jakob Messner <jakob.messner@posteo.net>
Repository: CRAN
Date/Publication: 2019-09-03 04:50:02 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 06:14:55 UTC; windows
Archs: i386, x64
