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surveysd
View on CRAN: Click
here
Download and install surveysd package within the R console
Install from CRAN:
install.packages("surveysd")
Install from Github:
library("remotes")
install_github("cran/surveysd") Install by package version:
library("remotes")
install_version("surveysd", "2.0.3") Attach the package and use:
library("surveysd")
Maintained by
Johannes Gussenbauer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-01-25
Latest Update: 2022-12-19
Description:
Calculate point estimates and their standard errors in complex household surveys using bootstrap replicates. Bootstrapping considers survey design with a rotating panel. A comprehensive description of the methodology can be found under <https://statistikat.github.io/surveysd/articles/methodology.html>.
How to cite:
Johannes Gussenbauer (2019). surveysd: Survey Standard Error Estimation for Cumulated Estimates and their Differences in Complex Panel Designs. R package version 2.0.3, https://cran.r-project.org/web/packages/surveysd. Accessed 02 Nov. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for surveysd
Functions, R codes and Examples using
the surveysd R package
Some associated functions: PointEstimates . calc.stError . computeFrac . cpp_mean . demo.eusilc . draw.bootstrap . generate.HHID . ipf . ipf_step . kishFactor . plot.surveysd . print.surveysd . recalib . rescaled.bootstrap .
Some associated R codes: RcppExports.R . calc.stError.R . computeFrac.R . demo.eusilc.R . draw.bootstrap.R . generateHHID.R . helpers.R . kishFactor.R . plot.R . print.R . recalib.R . rescaled.bootstrap.R . Full surveysd package functions and examples
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