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RRTCS
View on CRAN: Click
here
Download and install RRTCS package within the R console
Install from CRAN:
install.packages("RRTCS")
Install from Github:
library("remotes")
install_github("cran/RRTCS")
Install by package version:
library("remotes")
install_version("RRTCS", "0.0.4")
Attach the package and use:
library("RRTCS")
Maintained by
Beatriz Cobo Rodríguez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.RRTCS . RRTCS results . RRTCS.pdf . RRTCS package. Application of Horvitz model to a real survey . RRTCS_0.0.4.tar.gz . RRTCS_0.0.4.zip . RRTCS_0.0.4.zip . RRTCS_0.0.4.zip . RRTCS_0.0.4.tgz . RRTCS_0.0.4.tgz . RRTCS_0.0.4.tgz . RRTCS_0.0.4.tgz . RRTCS archive . https://CRAN.R-project.org/package=RRTCS .
First Published: 2015-04-24
Latest Update: 2021-04-21
Description:
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.
How to cite:
Beatriz Cobo Rodríguez (2015). RRTCS: Randomized Response Techniques for Complex Surveys. R package version 0.0.4, https://cran.r-project.org/web/packages/RRTCS. Accessed 23 Apr. 2025.
Previous versions and publish date:
Other packages that cited RRTCS R package
View RRTCS citation profile
Other R packages that RRTCS depends,
imports, suggests or enhances
Complete documentation for RRTCS
Functions, R codes and Examples using
the RRTCS R package
Some associated functions: BarLev . BarLevData . ChaudhuriChristofides . ChaudhuriChristofidesData . ChaudhuriChristofidesDatapij . Christofides . ChristofidesData . Devore . DevoreData . DianaPerri1 . DianaPerri1Data . DianaPerri2 . DianaPerri2Data . EichhornHayre . EichhornHayreData . Eriksson . ErikssonData . ForcedResponse . ForcedResponseData . ForcedResponseDataSt . Horvitz . HorvitzData . HorvitzDataRealSurvey . HorvitzDataStCl . HorvitzUB . HorvitzUBData . Kuk . KukData . Mangat . MangatSingh . MangatSinghData . MangatSinghSingh . MangatSinghSinghData . MangatSinghSinghUB . MangatSinghSinghUBData . MangatUB . RRTCS-internal . RRTCS-package . ResamplingVariance . Saha . SahaData . SinghJoarder . SinghJoarderData . SoberanisCruz . SoberanisCruzData . Warner . WarnerData .
Some associated R codes: BarLev.R . BarLevData.R . CampbellBergerSkinnerVariance.R . ChaudhuriChristofides.R . ChaudhuriChristofidesData.R . ChaudhuriChristofidesDatapij.R . Christofides.R . ChristofidesData.R . Devore.R . DevoreData.R . DianaPerri1.R . DianaPerri1Data.R . DianaPerri2.R . DianaPerri2Data.R . EichhornHayre.R . EichhornHayreData.R . Eriksson.R . ErikssonData.R . EscobarBergerVariance.R . Estimator.R . ForcedResponse.R . ForcedResponseData.R . ForcedResponseDataSt.R . Horvitz.R . HorvitzData.R . HorvitzDataRealSurvey.R . HorvitzDataStCl.R . HorvitzUB.R . HorvitzUBData.R . JackknifeVariance.R . Kuk.R . KukData.R . Mangat.R . MangatSingh.R . MangatSinghData.R . MangatSinghSingh.R . MangatSinghSinghData.R . MangatSinghSinghUB.R . MangatSinghSinghUBData.R . MangatUB.R . Qualitative.R . Quantitative.R . RRTCS-internal.R . RRTCS-package.R . ResamplingVariance.R . Saha.R . SahaData.R . SinghJoarder.R . SinghJoarderData.R . SoberanisCruz.R . SoberanisCruzData.R . Warner.R . WarnerData.R . Full RRTCS package functions and examples
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