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.">

AHM: Additive Heredity Model: Method for the Mixture-of-Mixtures Experiments (original) (raw)

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
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: AHM results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=AHMto link to this page.