RRTCS: Randomized Response Techniques for Complex Surveys

Point and interval estimation of linear parameters with data obtained from complex surveys (including stratified and clustered samples) when randomization techniques are used. The randomized response technique was developed to obtain estimates that are more valid when studying sensitive topics. Estimators and variances for 14 randomized response methods for qualitative variables and 7 randomized response methods for quantitative variables are also implemented. In addition, some data sets from surveys with these randomization methods are included in the package.

Version:	0.0.4
Imports:	sampling, samplingVarEst, stats
Suggests:	markdown, knitr
Published:	2021-04-21
Author:	Beatriz Cobo Rodríguez, María del Mar Rueda García, Antonio Arcos Cebrián
Maintainer:	Beatriz Cobo Rodríguez <beacr at ugr.es>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
In views:	OfficialStatistics
CRAN checks:	RRTCS results

Documentation:

Reference manual:	RRTCS.pdf
Vignettes:	RRTCS package. Application of Horvitz model to a real survey

Downloads:

Package source:	RRTCS_0.0.4.tar.gz
Windows binaries:	r-devel: RRTCS_0.0.4.zip, r-release: RRTCS_0.0.4.zip, r-oldrel: RRTCS_0.0.4.zip
macOS binaries:	r-release (arm64): RRTCS_0.0.4.tgz, r-oldrel (arm64): RRTCS_0.0.4.tgz, r-release (x86_64): RRTCS_0.0.4.tgz, r-oldrel (x86_64): RRTCS_0.0.4.tgz
Old sources:	RRTCS archive

Linking:

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