README.md
In DiegoZardetto/EVER: Estimation of Variance by Efficient Replication
EVER 
EVER (Estimation of Variance by Efficient Replication) is an R package for calibration, estimation and sampling error assessment in complex sample surveys.
EVER's sampling variance estimation is based on the extended DAGJK (Delete-A-group Jackknife) technique proposed by P. S. Kott (see References).
Installation
You can install the development version of EVER from GitHub as follows:
install.packages("devtools")
devtools::install_github("DiegoZardetto/EVER")
The last released version of EVER can be downloaded from Istat website.
Website
A pkgdown website for the EVER package is available here:
- https://DiegoZardetto.github.io/EVER
References
Kott, Phillip S. (1999) "The Extended Delete-A-Group Jackknife". Bulletin of the International Statistical Instititute. 52nd Session. Contributed Papers. Book 2, pp. 167-168.
Kott, Phillip S. (2001) "The Delete-A-Group Jackknife". Journal of Official Statistics, Vol.17, No.4, pp. 521-526.
DiegoZardetto/EVER documentation built on April 8, 2021, 1:05 p.m.
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EVER
EVER (Estimation of Variance by Efficient Replication) is an R package for calibration, estimation and sampling error assessment in complex sample surveys.
EVER's sampling variance estimation is based on the extended DAGJK (Delete-A-group Jackknife) technique proposed by P. S. Kott (see References).
Installation
You can install the development version of EVER from GitHub as follows:
install.packages("devtools")
devtools::install_github("DiegoZardetto/EVER")
The last released version of EVER can be downloaded from Istat website.
Website
A pkgdown website for the EVER package is available here: - https://DiegoZardetto.github.io/EVER
References
Kott, Phillip S. (1999) "The Extended Delete-A-Group Jackknife". Bulletin of the International Statistical Instititute. 52nd Session. Contributed Papers. Book 2, pp. 167-168.
Kott, Phillip S. (2001) "The Delete-A-Group Jackknife". Journal of Official Statistics, Vol.17, No.4, pp. 521-526.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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