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CalibrateSSB (version 1.3.0)

Weighting and Estimation for Panel Data with Non-Response

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) .

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install.packages('CalibrateSSB')

Monthly Downloads

279

Version

1.3.0

License

GPL-2

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Maintainer

Oyvind Langsrud

Last Published

August 4th, 2020

Functions in CalibrateSSB (1.3.0)

testDataBasis

testDataBasis
WideFromCalibrate

Rearrange output from CalibrateSSB (calSSB object). Ready for input to PanelEstimation.
PanelEstimation

Variance estimation for panel data
AkuData

Generate test data
CalSSBobj

Create or modify a CalSSB object
CalibrateSSBpanel

Calibration weighting and variance estimation for panel data
CalibrateSSB

Calibration weighting and estimation
print.calSSBwide

Print method for calSSBwide
print.calSSB

Print method for calSSB
OrderedVarNames

OrderedVarNames
LinCombMatrix

Creation of linear combination matrices
CrossStrata

Crossing several factor variables
MatchVarNames

MatchVarNames
CalSSBobjReGenesees

Create a CalSSB object from a ReGenesees/cal.analytic object
CalibrateSSB-package

Weighting and Estimation for Panel Data with Non-Response