mase

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>.

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Maintainer: ‘Kelly McConville <kmcconville@fas.harvard.edu>’

The Description field contains
  (2017) <arXiv:1712.05708>.  The variance estimators which approximate
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Maintainer: ‘Kelly McConville <kmcconville@fas.harvard.edu>’

The Description field contains
  (2017) <arXiv:1712.05708>.  The variance estimators which approximate
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

installed size is 18.9Mb
  sub-directories of 1Mb or more:
    libs  18.6Mb

installed size is 19.1Mb
  sub-directories of 1Mb or more:
    libs  18.8Mb

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Maintainer: ‘Kelly McConville <kmcconville@fas.harvard.edu>’

The Description field contains
  (2017) <arXiv:1712.05708>.  The variance estimators which approximate
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Maintainer: ‘Kelly McConville <kmcconville@fas.harvard.edu>’

The Description field contains
  (2017) <arXiv:1712.05708>.  The variance estimators which approximate
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

installed size is 18.9Mb
  sub-directories of 1Mb or more:
    libs  18.6Mb

installed size is 19.1Mb
  sub-directories of 1Mb or more:
    libs  18.8Mb

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