| Name : R-list
| |
| Version : 9.2.6
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp154.2.1
| Date : 2024-06-20 16:39:46
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| Group : Development/Libraries/Other
| Source RPM : R-list-9.2.6-lp154.2.1.src.rpm
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| Size : 0.84 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Statistical Methods for the Item Count Technique and List Experiment
|
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)
< doi:10.1198/jasa.2011.ap10415>, Blair and Imai (2012)
< doi:10.1093/pan/mpr048>, Blair, Imai, and Lyall (2013)
< doi:10.1111/ajps.12086>, Imai, Park, and Greene (2014)
< doi:10.1093/pan/mpu017>, Aronow, Coppock, Crawford, and Green (2015)
< doi:10.1093/jssam/smu023>, Chou, Imai, and Rosenfeld (2017)
< doi:10.1177/0049124117729711>, and Blair, Chou, and Imai (2018)
< https://imai.fas.harvard.edu/research/files/listerror.pdf>. 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.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
