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We aim to deal with data with measurement error in the response and misclassification censoring status under an AFT model. This package primarily contains three functions, which are used to generate artificial data, correction for error-prone data and estimate the functional covariates for an AFT model.
| Version: | 0.1.2 |
| Depends: | R (≥ 3.3.1) |
| Imports: | stats, ggplot2 |
| Published: | 2023-07-06 |
| DOI: | 10.32614/CRAN.package.AFFECT |
| Author: | Hsiao-Ting Huang [cre,aut] Li-Pang Chen [aut] |
| Maintainer: | Hsiao-Ting Huang <nikkihuang309700034 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | AFFECT results |
| Reference manual: | AFFECT.pdf |
| Package source: | AFFECT_0.1.2.tar.gz |
| Windows binaries: | r-devel: AFFECT_0.1.2.zip, r-release: AFFECT_0.1.2.zip, r-oldrel: AFFECT_0.1.2.zip |
| macOS binaries: | r-release (arm64): AFFECT_0.1.2.tgz, r-oldrel (arm64): AFFECT_0.1.2.tgz, r-release (x86_64): AFFECT_0.1.2.tgz, r-oldrel (x86_64): AFFECT_0.1.2.tgz |
| Old sources: | AFFECT archive |
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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.