AHM: Additive Heredity Model: Method for the Mixture-of-Mixtures Experiments

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

Downloads:

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-devel-gcc8: AHM_1.0.1.zip, r-release: AHM_1.0.1.zip, r-oldrel: AHM_1.0.1.zip
OS X binaries: r-release: AHM_1.0.1.tgz, r-oldrel: AHM_1.0.1.tgz

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