Package: CalibrateSSB 1.4.0

Øyvind Langsrud

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>.

Authors:Øyvind Langsrud [aut, cre]

CalibrateSSB_1.4.0.tar.gz
CalibrateSSB_1.4.0.zip(r-4.7-any)CalibrateSSB_1.4.0.zip(r-4.6-any)CalibrateSSB_1.4.0.zip(r-4.5-any)
CalibrateSSB_1.4.0.tgz(r-4.6-any)CalibrateSSB_1.4.0.tgz(r-4.5-any)
CalibrateSSB_1.4.0.tar.gz(r-4.7-any)CalibrateSSB_1.4.0.tar.gz(r-4.6-any)
CalibrateSSB_1.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
CalibrateSSB/json (API)

# Install 'CalibrateSSB' in R:
install.packages('CalibrateSSB', repos = c('https://statisticsnorway.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/statisticsnorway/ssb-calibratessb/issues

Pkgdown/docs site:https://statisticsnorway.github.io

On CRAN:

Conda:

3.08 score 2 stars 12 scripts 397 downloads 14 exports 10 dependencies

Last updated from:2632f70ffc. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK150
source / vignettesOK237
linux-releaseOK142
macos-releaseOK140
macos-oldrelOK101
windows-develOK111
windows-releaseOK98
windows-oldrelOK89
wasm-releaseOK116

Exports:AkuDataCalibrateSSBCalibrateSSBpanelCalSSBobjCalSSBobjReGeneseesCrossStrataLagDiffLinCombMatrixMatchVarNamesOrderedVarNamesPanelEstimationPeriodPeriodDiffWideFromCalibrate

Dependencies:DBIlatticeMatrixminqamitoolsnumDerivRcppRcppArmadillosurveysurvival