Perform L1 or L2 isotonic and unimodal regression on 1D weighted or unweighted input vector and isotonic regression on 2D weighted or unweighted input vector. It also performs L infinity isotonic and unimodal regression on 1D unweighted input vector. Reference: Quentin F. Stout (2008) <doi:10.1016/j.csda.2008.08.005>. Spouge, J., Wan, H. & Wilbur, W.(2003) <doi:10.1023/A:1023901806339>. Q.F. Stout (2013) <doi:10.1007/s00453-012-9628-4>.
| Version: | 0.0-0 |
| Imports: | Rcpp (≥ 0.12.11) |
| LinkingTo: | Rcpp |
| Published: | 2017-11-07 |
| DOI: | 10.32614/CRAN.package.UniIsoRegression |
| Author: | Zhipeng Xu, Chenkai Sun, Aman Karunakaran, Quentin Stout |
| Maintainer: | Zhipeng Xu <xzhipeng at umich.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/xzp1995/UniIsoRegression |
| NeedsCompilation: | yes |
| CRAN checks: | UniIsoRegression results |
| Reference manual: | UniIsoRegression.html , UniIsoRegression.pdf |
| Package source: | UniIsoRegression_0.0-0.tar.gz |
| Windows binaries: | r-devel: UniIsoRegression_0.0-0.zip, r-release: UniIsoRegression_0.0-0.zip, r-oldrel: UniIsoRegression_0.0-0.zip |
| macOS binaries: | r-release (arm64): UniIsoRegression_0.0-0.tgz, r-oldrel (arm64): UniIsoRegression_0.0-0.tgz, r-release (x86_64): UniIsoRegression_0.0-0.tgz, r-oldrel (x86_64): UniIsoRegression_0.0-0.tgz |
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