Penalized spatial median regression using LASSO. The iteratively reweighted least squares algorithm is used to solve the spatial median regression problem and weighted LASSO is employed.
| Version: | 1.0 |
| Depends: | R (≥ 4.0) |
| Imports: | Compositional, glmnet, Rfast, stats |
| Published: | 2026-09-12 |
| DOI: | 10.32614/CRAN.package.smrlasso (may not be active yet) |
| Author: | Michail Tsagris [aut, cre] |
| Maintainer: | Michail Tsagris <mtsagris at uoc.gr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | smrlasso results |
| Reference manual: | smrlasso.html , smrlasso.pdf |
| Package source: | smrlasso_1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): smrlasso_1.0.tgz, r-release (x86_64): smrlasso_1.0.tgz, r-oldrel (x86_64): smrlasso_1.0.tgz |
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