svyPVpack-package: Use survey designs including plausible values

In svyPVpack: A package for complex surveys 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.).

Details

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

Author(s)

Manuel Reif <[e-mail]>, Jakob Peterbauer <[e-mail]>

Maintainer: Manuel Reif <[e-mail]>

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

data(svy_example1)

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

erg_ben

svyPVpack documentation built on May 1, 2019, 8:45 p.m.