CalibrateSSB: Weighting and Estimation for Panel Data with Non-Response

Functions to calculate weights, estimates of changes and corresponding variance estimates for panel data with non-response. Partially overlapping samples are handled. Initially, weights are calculated by linear calibration. By default, the survey package is used for this purpose. It is also possible to use ReGenesees, which can be installed from <https://github.com/DiegoZardetto/ReGenesees>. Variances of linear combinations (changes and averages) and ratios are calculated from a covariance matrix based on residuals according to the calibration model. The methodology was presented at the conference, The Use of R in Official Statistics, and is described in Langsrud (2016) <http://www.revistadestatistica.ro/wp-content/uploads/2016/06/RRS2_2016_A021.pdf>.

Version: 1.3.0
Depends: R (≥ 3.0.0), survey
Imports: methods
Suggests: ReGenesees, testthat (≥ 2.1.0)
Published: 2020-08-04
Author: √ėyvind Langsrud
Maintainer: Oyvind Langsrud <oyl at ssb.no>
BugReports: https://github.com/statisticsnorway/CalibrateSSB/issues
License: GPL-2
URL: https://github.com/statisticsnorway/CalibrateSSB
NeedsCompilation: no
Materials: NEWS
In views: OfficialStatistics
CRAN checks: CalibrateSSB results

Downloads:

Reference manual: CalibrateSSB.pdf
Package source: CalibrateSSB_1.3.0.tar.gz
Windows binaries: r-devel: CalibrateSSB_1.3.0.zip, r-release: CalibrateSSB_1.3.0.zip, r-oldrel: CalibrateSSB_1.3.0.zip
macOS binaries: r-release: CalibrateSSB_1.3.0.tgz, r-oldrel: CalibrateSSB_1.3.0.tgz
Old sources: CalibrateSSB archive

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