santosneto/mixbsreg: Mixture-based regression model with application to data with high censoring
We derive a new continuous-discrete mixture regression model which is useful for describing highly censored data. This mixture model employs the Birnbaum-Saunders and Bernoulli distribution. We estimate the corresponding parameters with the maximum likelihood method.
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Package details |
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| Author | Manoel Santos-Neto[aut,cre], Helton Saulo[aut,cre], Victo Leiva[aut] and Mario Desousa[aut] |
| Maintainer | Manoel Santos-Neto <santosnetoce@protonemail.com> |
| License | GNU GPL v2 |
| Version | 0.1.1 |
| Package repository | View on GitHub |
| Installation |
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