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pqrfe: Penalized Quantile Regression with Fixed Effects
Quantile regression with fixed effects is a general model for longitudinal data. Here we proposed to solve it by several methods. The estimation methods include three loss functions as check, asymmetric least square and asymmetric Huber functions; and three structures as simple regression, fixed effects and fixed effects with penalized intercepts by LASSO.
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Package details |
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| Author | Ian Meneghel Danilevicz [aut, cre] (<https://orcid.org/0000-0003-4541-0524>), Valderio A Reisen [aut], Pascal Bondon [aut] |
| Maintainer | Ian Meneghel Danilevicz <iandanilevicz@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.1 |
| Package repository | View on CRAN |
| Installation |
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