Package: CalibrateSSB 1.3.0

Oyvind 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

CalibrateSSB_1.3.0.tar.gz
CalibrateSSB_1.3.0.zip(r-4.5)CalibrateSSB_1.3.0.zip(r-4.4)CalibrateSSB_1.3.0.zip(r-4.3)
CalibrateSSB_1.3.0.tgz(r-4.4-any)CalibrateSSB_1.3.0.tgz(r-4.3-any)
CalibrateSSB_1.3.0.tar.gz(r-4.5-noble)CalibrateSSB_1.3.0.tar.gz(r-4.4-noble)
CalibrateSSB_1.3.0.tgz(r-4.4-emscripten)CalibrateSSB_1.3.0.tgz(r-4.3-emscripten)
CalibrateSSB.pdf |CalibrateSSB.html
CalibrateSSB/json (API)
NEWS

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

Peer review:

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

Datasets:

    On CRAN:

    3.11 score 2 stars 13 scripts 188 downloads 14 exports 10 dependencies

    Last updated 1 years agofrom:499529ec07. Checks:OK: 3 NOTE: 4. Indexed: yes.

    TargetResultDate
    Doc / VignettesOKOct 29 2024
    R-4.5-winOKOct 29 2024
    R-4.5-linuxOKOct 29 2024
    R-4.4-winNOTEOct 29 2024
    R-4.4-macNOTEOct 29 2024
    R-4.3-winNOTEOct 29 2024
    R-4.3-macNOTEOct 29 2024

    Exports:AkuDataCalibrateSSBCalibrateSSBpanelCalSSBobjCalSSBobjReGeneseesCrossStrataLagDiffLinCombMatrixMatchVarNamesOrderedVarNamesPanelEstimationPeriodPeriodDiffWideFromCalibrate

    Dependencies:DBIlatticeMatrixminqamitoolsnumDerivRcppRcppArmadillosurveysurvival