Implements the adaptive sampling procedure, a framework for both positive unlabeled learning and learning with class label noise. Yang, P., Ormerod, J., Liu, W., Ma, C., Zomaya, A., Yang, J. (2018) <doi:10.1109/TCYB.2018.2816984>.
| Version: | 1.3 |
| Depends: | R (≥ 3.4.0) |
| Imports: | caret (≥ 6.0-78) , class (≥ 7.3-14), e1071 (≥ 1.6-8), stats, MASS |
| Suggests: | knitr, rmarkdown |
| Published: | 2019-05-21 |
| Author: | Pengyi Yang |
| Maintainer: | Pengyi Yang <yangpy7 at gmail.com> |
| BugReports: | https://github.com/PengyiYang/AdaSampling/issues |
| License: | GPL-3 |
| URL: | https://github.com/PengyiYang/AdaSampling/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | AdaSampling results |
| Reference manual: | AdaSampling.pdf |
| Vignettes: |
Breast cancer classification with AdaSampling |
| Package source: | AdaSampling_1.3.tar.gz |
| Windows binaries: | r-devel: AdaSampling_1.3.zip, r-release: AdaSampling_1.3.zip, r-oldrel: AdaSampling_1.3.zip |
| macOS binaries: | r-release (arm64): AdaSampling_1.3.tgz, r-oldrel (arm64): AdaSampling_1.3.tgz, r-release (x86_64): AdaSampling_1.3.tgz, r-oldrel (x86_64): AdaSampling_1.3.tgz |
| Old sources: | AdaSampling archive |
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