An implementation of the additive heredity model for the mixture-of-mixtures experiments of Shen et al. (2019) in Technometrics <doi:10.1080/00401706.2019.1630010>. The additive heredity model considers an additive structure to inherently connect the major components with the minor components. The additive heredity model has a meaningful interpretation for the estimated model because of the hierarchical and heredity principles applied and the nonnegative garrote technique used for variable selection.
| Version: | 1.0.1 |
| Depends: | R (≥ 2.10), quadprog, glmnet |
| Imports: | mixexp, plgp, devtools, dplyr, tibble, tidyr, Matrix |
| Suggests: | knitr, rmarkdown, partitions |
| Published: | 2019-07-28 |
| Author: | Sumin Shen [aut, cre], Lulu Kang [aut], Xinwei Deng [aut] |
| Maintainer: | Sumin Shen <sumin at vt.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | AHM results |
| Reference manual: | AHM.pdf |
| Vignettes: |
Introduction to the AHM package |
| Package source: | AHM_1.0.1.tar.gz |
| Windows binaries: | r-devel: AHM_1.0.1.zip, r-release: AHM_1.0.1.zip, r-oldrel: AHM_1.0.1.zip |
| macOS binaries: | r-release: AHM_1.0.1.tgz, r-oldrel: AHM_1.0.1.tgz |
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