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CalibrateSSB
View on CRAN: Click
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Download and install CalibrateSSB package within the R console
Install from CRAN:
install.packages("CalibrateSSB")
Install from Github:
library("remotes")
install_github("cran/CalibrateSSB")
Install by package version:
library("remotes")
install_version("CalibrateSSB", "1.3.0")
Attach the package and use:
library("CalibrateSSB")
Maintained by
Oyvind Langsrud
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-04-28
Latest Update: 2020-08-04
Description:
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 . 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) .
How to cite:
Oyvind Langsrud (2016). CalibrateSSB: Weighting and Estimation for Panel Data with Non-Response. R package version 1.3.0, https://cran.r-project.org/web/packages/CalibrateSSB
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Functions, R codes and Examples using
the CalibrateSSB R package
Some associated functions: AkuData . CalSSBobj . CalSSBobjReGenesees . CalibrateSSB-package . CalibrateSSB . CalibrateSSBpanel . CrossStrata . LinCombMatrix . MatchVarNames . OrderedVarNames . PanelEstimation . WideFromCalibrate . print.calSSB . print.calSSBwide . testDataBasis .
Some associated R codes: AkuData.R . CalibrateSSB-package.R . CalibrateSSB.R . PanelEstimation.R . calSSB.R . calibratePackageSurvey.R . etosFunctions.R . impVekt.R . lagVekter.R . my_ginv.R . setAndGetTotal.R . Full CalibrateSSB package functions and examples
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