Package: AHM 1.0.1

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.

Authors:Sumin Shen [aut, cre], Lulu Kang [aut], Xinwei Deng [aut]

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AHM.pdf |AHM.html✨
AHM/json (API)

# Install 'AHM' in R:

install.packages('AHM', repos = c('https://vtshen.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

coating - Photoresist-coating experiment data
design_simplex_centroid_design_3_major_component - Design points for the simplex centroid design with 3 components
pringles_candidates2search - The candidate search points in the nonlinear optimization for the optimal value in the Pringles experiment
pringles_fat - Pringles experiment data set with the percent of Fat as the response
pringles_hardness - Pringles experiment data set with the Hardness as the response

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 2 scripts 229 downloads 1 mentions 9 exports 116 dependencies

Last updated 5 years agofrom:e312b3caec. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 16 2024
R-4.5-win	NOTE	Nov 16 2024
R-4.5-linux	NOTE	Nov 16 2024
R-4.4-win	NOTE	Nov 16 2024
R-4.4-mac	NOTE	Nov 16 2024
R-4.3-win	NOTE	Nov 16 2024
R-4.3-mac	NOTE	Nov 16 2024

Exports:ahm check_col_correlation compute_aicc cv.ahm enlist expand_interactions find_condition_num mapping_function mymaximin

Dependencies:askpass base64enc brew brio bslib cachem callr cli clipr cluster codetools commonmark cpp11 crayon credentials curl daewr desc devtools diffobj digest downlit dplyr ellipsis evaluate fansi fastmap fontawesome foreach fs generics gert gh gitcreds glmnet glue highr htmltools htmlwidgets httpuv httr2 ini iterators jquerylib jsonlite knitr later lattice lifecycle magrittr maptree Matrix memoise mime miniUI mixexp mvtnorm openssl pillar pkgbuild pkgconfig pkgdown pkgload plgp praise prettyunits processx profvis promises ps purrr quadprog R6 ragg rappdirs rcmdcheck Rcpp RcppEigen remotes rlang rmarkdown roxygen2 rpart rprojroot rstudioapi rversions sass sessioninfo shape shiny sourcetools stringi stringr survival sys systemfonts testthat textshaping tgp tibble tidyr tidyselect tinytex urlchecker usethis utf8 vctrs waldo whisker withr xfun xml2 xopen xtable yaml zip

Introduction to the AHM Package

| Sumin Shen, Lulu Kang, and Xinwei Deng

Rendered fromIntroduction_to_the_AHM_package.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2019-07-28
Started: 2019-07-28

Help page	Topics
This is one of the main functions. The function ahm computes the proposed additive heredity model.	ahm
Check column correlations	check_col_correlation
Photoresist-coating experiment data	coating
Coefficient method for the fitted ahm object	coef.ahm
Coefficient method for the fitted cv.ahm object	coef.cv.ahm
compute AICc	compute_aicc
This is one of the main functions. It perform the cross validation on ahm models to select the optimal setting of hyper parameter h	cv.ahm
Design points for the simplex centroid design with 3 components	design_simplex_centroid_design_3_major_component
Create a list	enlist
Expand the interaction terms for each subset group, say x11, x12, or c1, c2, c3	expand_interactions
Compute the conditional number of design matrix	find_condition_num
Mapping_function is a function to add the functional coefficients of major components in front of minor components terms	mapping_function
The mymaximin function generates the matrix of maximin design points. It uses the simplex centroid design as the base design, then in a stochastics way sample the candidate design points generated by the function partition.	mymaximin
Predict method for the fitted ahm object	predict.ahm
Predict method for the fitted cv.ahm object	predict.cv.ahm
The candidate search points in the nonlinear optimization for the optimal value in the Pringles experiment	pringles_candidates2search
Pringles experiment data set with the percent of Fat as the response	pringles_fat
Pringles experiment data set with the Hardness as the response	pringles_hardness
Summary method for the fitted ahm object	summary.ahm

Package: AHM 1.0.1

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

Introduction to the AHM Package

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)