CalibrateSSB is an R-package that handles repeated surveys with partially overlapping samples. Initially the samples are weighted by linear calibration using known or estimated population totals. A robust model based covariance matrix for all relevant estimated totals is calculated from the residuals according to the calibration model. Alternatively a design based covariance matrix is calculated in a very similar way. A cluster robust version is also possible. In the case of estimated populations totals the covariance matrix is adjusted by utilizing the theory of S<e4>rndal and Lundstr<U+001AD828>2005). Variances of linear combinations (changes and averages) and ratios are calculated from this covariance matrix. The linear combinations and ratios can involve variables within and/or between sample waves.
| Package: | CalibrateSSB |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2016-04-28 |
| License: | GPL-2 |
Langsrud, <d8> (2016): “A variance estimation R-package for repeated surveys - useful for estimates of changes in quarterly and annual averages”, New Challenges for Statistical Software - The Use of R in Official Statistics, Bucharest, Romania, 7-8 April.
S<e4>rndal, C.-E. and Lundstr<U+001ADB20>S. (2005): Estimation in Surveys with Nonresponse, John Wiley and Sons, New York.