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list
View on CRAN: Click
here
Download and install list package within the R console
Install from CRAN:
install.packages("list")
Install from Github:
library("remotes")
install_github("cran/list")
Install by package version:
library("remotes")
install_version("list", "9.2.6")
Attach the package and use:
library("list")
Maintained by
Graeme Blair
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-07-09
Latest Update: 2022-06-26
Description:
Allows researchers to conduct multivariate
statistical analyses of survey data with list experiments. This
survey methodology is also known as the item count technique or
the unmatched count technique and is an alternative to the commonly
used randomized response method. The package implements the methods
developed by Imai (2011) ,
Blair and Imai (2012) ,
Blair, Imai, and Lyall (2013) ,
Imai, Park, and Greene (2014) ,
Aronow, Coppock, Crawford, and Green (2015) ,
Chou, Imai, and Rosenfeld (2017) , and
Blair, Chou, and Imai (2018) .
This includes a Bayesian MCMC implementation of regression for the
standard and multiple sensitive item list experiment designs and a
random effects setup, a Bayesian MCMC hierarchical regression model
with up to three hierarchical groups, the combined list experiment
and endorsement experiment regression model, a joint model of the
list experiment that enables the analysis of the list experiment as
a predictor in outcome regression models, a method for combining
list experiments with direct questions, and methods for diagnosing and
adjusting for response error. In addition, the package implements the
statistical test that is designed to detect certain failures of list
experiments, and a placebo test for the list experiment using data from
direct questions.
How to cite:
Graeme Blair (2010). list: Statistical Methods for the Item Count Technique and List Experiment. R package version 9.2.6, https://cran.r-project.org/web/packages/list
Previous versions and publish date:
1.0 (2010-07-09 15:27), 1.1 (2010-07-25 13:06), 2.0 (2010-12-14 19:00), 2.1 (2011-01-03 18:42), 2.2 (2011-01-20 14:08), 2.3 (2011-03-09 20:59), 3.0 (2011-04-06 08:10), 4.0 (2011-05-04 17:24), 4.1 (2011-05-24 21:11), 4.2 (2011-11-02 18:25), 5.0 (2012-01-03 17:20), 5.1 (2012-03-22 22:06), 5.2 (2013-01-06 07:57), 6.0 (2013-04-24 08:04), 6.1 (2014-03-06 15:56), 7.0 (2014-08-18 07:26), 7.1 (2014-11-29 07:59), 8.0 (2015-05-20 00:05), 8.1 (2016-07-27 07:59), 8.2 (2016-08-16 09:55), 8.3 (2016-12-30 19:37), 9.0 (2018-11-06 07:20), 9.1 (2019-02-26 23:30), 9.2.1 (2022-05-09 11:10), 9.2.2 (2022-05-25 13:00), 9.2.4 (2022-06-26 23:20), 9.2 (2020-03-19 14:00)
Other packages that cited list R package
View list citation profile
Other R packages that list depends,
imports, suggests or enhances
Functions, R codes and Examples using
the list R package
Some associated functions: affirm . combinedListDirect . combinedListExps . comp.listEndorse . ict.hausman.test . ict.test . ictreg.joint . ictreg . ictregBayes . ictregBayesHier . mexico . mis . multi . plot.predict.ictreg . predict.ictreg.joint . predict.ictreg . predict.ictregBayes . predict.ictregBayesHier . race . summary.ictreg .
Some associated R codes: combinedListDirect.R . comp.listEndorse.R . ict.hausman.test.R . ict.test.R . ictreg.R . ictreg.joint.R . ictregBayes.R . ictregBayesHier.R . list-package.R . Full list package functions and examples
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