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htobit2017: Heteroscedastic Tobit Regression Models
Heteroscedastic tobit regression models are provided. These are Gaussian regression models with a response variable left-censored at zero and both distribution parameters (the latent location and scale) parameters can depend on covariates. An identity link is employed for the location equation and a log link for the scale equation.
Getting started
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Package details |
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| Author | Achim Zeileis [aut, cre] |
| Maintainer | Achim Zeileis <Achim.Zeileis@R-project.org> |
| License | GPL-2 | GPL-3 |
| Version | 0.1-0 |
| Package repository | View on R-Forge |
| Installation |
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