Package: mase
Type: Package
Title: Model-Assisted Survey Estimators
Version: 0.1.3
Date: 2021-07-06
Encoding: UTF-8
Authors@R: c(person("Kelly", "McConville", role = c("aut", "cre", "cph"),
                    email = "mcconville@reed.edu"),
            person("Becky", "Tang", role = "aut"),
            person("George", "Zhu", role = "aut"),
            person("Sida", "Li", role = "ctb"),
            person("Shirley", "Chueng", role = "ctb"),
            person("Daniell", "Toth", role = "ctb")
            )
Maintainer: Kelly McConville <mcconville@reed.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, magrittr, rpms, boot, stats, Rdpack
Suggests: roxygen2, testthat, knitr, rmarkdown
Depends: R (>= 3.1)
Collate: 'gregt.R' 'varMase.R' 'GREG.R' 'gregElasticNett.R'
        'gregElasticNet.R' 'gregTree.R' 'gregtreet.R' 'htt.R'
        'horvitzThompson.R' 'logisticGregElasticNett.R'
        'logisticGregt.R' 'postStratt.R' 'postStrat.R'
        'ratioEstimatort.R' 'ratioEstimator.R'
RoxygenNote: 7.1.1
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2021-07-09 15:39:29 UTC; mcconville
Author: Kelly McConville [aut, cre, cph],
  Becky Tang [aut],
  George Zhu [aut],
  Sida Li [ctb],
  Shirley Chueng [ctb],
  Daniell Toth [ctb]
Repository: CRAN
Date/Publication: 2021-07-09 23:00:07 UTC
