Authors@R: c(person("Kelly", "McConville", role = c("aut", "cre", "cph"),
person("Shirley", "Chueng", role = "ctb"),
person("Daniell", "Toth", role = c("ctb", "cph"),
comment = "Author and copyright holder of treeDesignMatrix helper function")
Description: A set of model-assisted survey estimators and corresponding
variance estimators for single stage, unequal probability, without replacement
sampling designs.  All of the estimators can be written as a generalized
regression estimator with the Horvitz-Thompson, ratio, post-stratified, and
regression estimators summarized by Sarndal et al. (1992, ISBN:978-0-387-40620-6).
Two of the estimators employ a statistical learning model as the assisting model:
the elastic net regression estimator, which is an extension of the lasso regression
estimator given by McConville et al. (2017) <doi:10.1093/jssam/smw041>, and the
regression tree estimator described in McConville and Toth (2017) <arXiv:1712.05708>.
The variance estimators which approximate the joint inclusion probabilities can
bootstrap variance estimator is presented in Mashreghi et al. (2016)
Imports: MASS, glmnet, Matrix, foreach, survey, dplyr, magrittr, rpms,
Collate: 'gregt.R' 'varMase.R' 'GREG.R' 'gregElasticNett.R'
Author: Kelly McConville [aut, cre, cph],
Daniell Toth [ctb, cph] (Author and copyright holder of

Imports: glmnet, Matrix, foreach, survey, dplyr, magrittr, rpms, boot,
Packaged: 2018-10-12 22:40:10 UTC; mcconville

Imports: glmnet, survey, dplyr, magrittr, rpms, boot, stats, Rdpack
Suggests: roxygen2, testthat, knitr, rmarkdown
Packaged: 2021-07-09 15:39:29 UTC; mcconville

Description: Implements the multivariate adaptive shrinkage (mash)
estimating and testing large numbers of effects in many conditions
(or many outcomes). Mash takes an empirical Bayes approach to
testing and effect estimation; it estimates patterns of similarity
among conditions, then exploits these patterns to improve accuracy
of the effect estimates. The core linear algebra is implemented in
C++ for fast model fitting and posterior computation.
Imports: assertthat, utils, stats, plyr, rmeta, Rcpp (>= 0.12.11),
Suggests: MASS, REBayes, corrplot, testthat, kableExtra, knitr,