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mase
View on CRAN: Click
here
Download and install mase package within the R console
Install from CRAN:
install.packages("mase")
Install from Github:
library("remotes")
install_github("cran/mase") Install by package version:
library("remotes")
install_version("mase", "0.1.5.2") Attach the package and use:
library("mase")
Maintained by
Kelly McConville
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-06-14
Latest Update: 2024-01-17
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) , and the
regression tree estimator described in McConville and Toth (2017) .
The variance estimators which approximate the joint inclusion probabilities can
be found in Berger and Tille (2009) and the
bootstrap variance estimator is presented in Mashreghi et al. (2016)
.
How to cite:
Kelly McConville (2018). mase: Model-Assisted Survey Estimators. R package version 0.1.5.2, https://cran.r-project.org/web/packages/mase. Accessed 15 Jul. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for mase
Functions, R codes and Examples using
the mase R package
Some associated functions: IdahoPop . IdahoSamp . greg . gregElasticNet . gregTree . horvitzThompson . modifiedGreg . postStrat . ratio . ratioEstimator .
Some associated R codes: GREG.R . IdahoPop.R . IdahoSamp.R . RcppExports.R . gregElasticNet.R . gregElasticNett.R . gregTree.R . gregt.R . gregtreet.R . horvitzThompson.R . htt.R . logisticGregElasticNett.R . logisticGregt.R . mase-package.R . modifiedGreg.R . modifiedGregt.R . modifiedLogisticGregt.R . postStrat.R . postStratt.R . ratio.R . ratioEstimator.R . ratioEstimatort.R . varMase.R . Full mase package functions and examples
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