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svyPVpack (version 0.1-1)

svyPVpack-package: Use survey designs including plausible values

Description

This package was built to properly estimate various statistics (mean, variance, glm ...) for survey designs which include plausible values. Plausible values are random draws from a posterior density and are typically used to make comparisons on the group level (this is typical for large scale assessment data as PISA, PIAAC etc.).

Arguments

Details

Package:
svyPVpack
Type:
Package
Version:
0.1-1
Date:
2014-03-06
License:
GPL (>=2)

References

Saerndal, C.-E. & Swensson, B. & Wretman, J. (1992). Model Assisted Survey Sampling. New York: Springer.

See also:

OECD (2013). Technical Report of the Survey of Adult Skills (PIAAC). Retrieved from: http://www.oecd.org/site/piaac/All%20PIACC%20Technical%20Report%20final.pdf

See Also

svyPVglm svyPVpm

Examples

Run this code


data(svy_example1)

erg_ben <- svyPVbenchmark(by = ~ sex, svydat=svy.exrep,
pvs=c("plaus1","plaus2","plaus3"), BENCH=320)

erg_ben


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