| Name : R-mase
| |
| Version : 0.1.5.2
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp156.3.1
| Date : 2024-09-10 15:33:06
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| Group : Development/Libraries/Other
| Source RPM : R-mase-0.1.5.2-lp156.3.1.src.rpm
|
| Size : 0.40 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Model-Assisted Survey Estimators
|
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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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
