Package: mase
Type: Package
Title: Model-Assisted Survey Estimators
Version: 0.1.5.900
Date: 2024-02-17
Encoding: UTF-8
Authors@R: c(person("Kelly", "McConville", role = c("cre", "aut", "cph"),
                    email = "kmcconville@fas.harvard.edu"),
            person("Josh", "Yamamoto", role = c("aut"),
                    email = "joshuayamamoto5@gmail.com"),
            person("Becky", "Tang", role = "aut"),
            person("George", "Zhu", role = "aut"),
            person("Grayson", "White", role = "aut"),
            person("Sida", "Li", role = "ctb"),
            person("Shirley", "Chueng", role = "ctb"),
            person("Daniell", "Toth", role = "ctb")
            )
Maintainer: Kelly McConville <kmcconville@fas.harvard.edu>
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 be found in Berger and Tille (2009)
        <doi:10.1016/S0169-7161(08)00002-3> and the bootstrap variance
        estimator is presented in Mashreghi et al. (2016)
        <doi:10.1214/16-SS113>.
License: GPL-2
Imports: glmnet, survey, dplyr, tidyr, rpms, boot, stats, Rdpack,
        rlang, Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Depends: R (>= 4.1.0)
Collate: 'bootHelpers.R' 'varMase.R' 'GREG.R' 'IdahoPop.R'
        'IdahoSamp.R' 'RcppExports.R' 'gregElasticNet.R' 'gregTree.R'
        'horvitzThompson.R' 'mase-package.R' 'modifiedGreg.R'
        'postStrat.R' 'ratio.R' 'ratioEstimator.R'
RoxygenNote: 7.3.1
RdMacros: Rdpack
Config/testthat/edition: 3
URL: https://github.com/mcconvil/mase, https://mcconvil.github.io/mase/
BugReports: https://github.com/mcconvil/mase/issues
LazyData: true
LinkingTo: Rcpp, RcppEigen
Config/pak/sysreqs: make libicu-dev
Repository: https://mcconvil.r-universe.dev
Date/Publication: 2024-08-05 18:40:56 UTC
RemoteUrl: https://github.com/mcconvil/mase
RemoteRef: HEAD
RemoteSha: 43ecb83a7256458d0108d68a62230c56c46c1bec
NeedsCompilation: yes
Packaged: 2026-07-19 04:59:19 UTC; root
Author: Kelly McConville [cre, aut, cph],
  Josh Yamamoto [aut],
  Becky Tang [aut],
  George Zhu [aut],
  Grayson White [aut],
  Sida Li [ctb],
  Shirley Chueng [ctb],
  Daniell Toth [ctb]