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Provides functions for training extreme gradient boosting model using propensity score A-learning and weight-learning methods. For details on the A-learning and weight-learning methods, see Chen et al. (2017) <doi:10.1111/biom.12676>.
| Version: | 1.0.1 |
| Depends: | R (≥ 4.0.0) |
| Imports: | xgboost, pROC, ggplot2, PropCIs, survival, survminer, mgcv, onewaytests, car |
| Suggests: | knitr, rmarkdown, kableExtra |
| Published: | 2024-06-06 |
| DOI: | 10.32614/CRAN.package.BioPred |
| Author: | Zihuan Liu [aut, cre], Yan Sun [aut], Xin Huang [aut] |
| Maintainer: | Zihuan Liu <zihuan.liu at abbvie.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Language: | en |
| CRAN checks: | BioPred results |
| Reference manual: | BioPred.pdf |
| Vignettes: |
BioPred Package Tutorial |
| Package source: | BioPred_1.0.1.tar.gz |
| Windows binaries: | r-devel: BioPred_1.0.1.zip, r-release: BioPred_1.0.1.zip, r-oldrel: BioPred_1.0.1.zip |
| macOS binaries: | r-release (arm64): BioPred_1.0.1.tgz, r-oldrel (arm64): BioPred_1.0.1.tgz, r-release (x86_64): BioPred_1.0.1.tgz, r-oldrel (x86_64): BioPred_1.0.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.