r-rlmdatadriven
Data driven approach for robust regression estimation in homoscedastic and heteroscedastic context. See Wang et al. (2007), <doi:10.1198/106186007X180156> regarding homoscedastic framework.
| Name | Type | Version | Platform | Labels | Updated | Size | Downloads | Actions |
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noarch/r-rlmdatadriven-0.4.0-r43h142f84f_0.tar.bz2 | conda | 0.4.0 | noarch | main | Jan 16, 2024, 10:29 PM | 57.58 KB | 34 | |
noarch/r-rlmdatadriven-0.4.0-r42h142f84f_0.tar.bz2 | conda | 0.4.0 | noarch | main | Jun 27, 2022, 08:10 PM | 57.08 KB | 63 | |
noarch/r-rlmdatadriven-0.3.0-r36h6115d3f_0.tar.bz2 | conda | 0.3.0 | noarch | main | Mar 10, 2020, 09:56 PM | 57.27 KB | 129 |