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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 |
DOI: | 10.32614/CRAN.package.AHM |
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 (arm64): AHM_1.0.1.tgz, r-oldrel (arm64): AHM_1.0.1.tgz, r-release (x86_64): AHM_1.0.1.tgz, r-oldrel (x86_64): AHM_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.