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.
Version: | 1.0-4 |
Depends: | R (≥ 2.10.0) |
Imports: | stats, Formula, ordinal, sandwich, scoringRules |
Suggests: | glmx, lmtest, memisc |
Published: | 2019-09-03 |
Author: | Jakob Messner |
Maintainer: | Jakob Messner <jakob.messner at posteo.net> |
License: | GPL-2 | GPL-3 |
NeedsCompilation: | yes |
Citation: | crch citation info |
Materials: | NEWS |
In views: | Econometrics |
CRAN checks: | crch results |
Reference manual: | crch.pdf |
Vignettes: |
Heteroscedastic Censored and Truncated Regression with crch |
Package source: | crch_1.0-4.tar.gz |
Windows binaries: | r-devel: crch_1.0-4.zip, r-release: crch_1.0-4.zip, r-oldrel: crch_1.0-4.zip |
macOS binaries: | r-release: crch_1.0-4.tgz, r-oldrel: crch_1.0-4.tgz |
Old sources: | crch archive |
Reverse imports: | MortalityGaps |
Reverse suggests: | ensemblepp, insight, NetSimR, scoringRules |
Reverse enhances: | prediction |
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