[aut,
cre],
Kun Chen [aut]Regression methodologies with compositional covariates, including (1) sparse log-contrast regression with compositional covariates proposed by Lin et al. (2014) <doi:10.1093/biomet/asu031>, and (2) sparse log-contrast regression with functional compositional predictors proposed by Sun et al. (2020) <arXiv:1808.02403>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | Rcpp, MASS, plyr, splines, fda, orthogonalsplinebasis, methods |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-05-11 |
| Author: | Zhe Sun [aut,
cre],
Kun Chen [aut] |
| Maintainer: | Zhe Sun <zhe.sun at uconn.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| CRAN checks: | Compack results |
| Reference manual: | Compack.pdf |
| Vignettes: |
Introduction to Compack |
| Package source: | Compack_0.1.0.tar.gz |
| Windows binaries: | r-devel: Compack_0.1.0.zip, r-release: Compack_0.1.0.zip, r-oldrel: Compack_0.1.0.zip |
| macOS binaries: | r-release: Compack_0.1.0.tgz, r-oldrel: Compack_0.1.0.tgz |
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