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<U+00E4>rndal and Lundstr<U+00F6>m (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.
Langsrud, <U+00D8> (2016): “A variance estimation R-package for repeated surveys - useful for estimates of changes in quarterly and annual averages”, Romanian Statistical Review nr. 2 / 2016, pp. 17-28. CONFERENCE: New Challenges for Statistical Software - The Use of R in Official Statistics, Bucharest, Romania, 7-8 April.
S<U+00E4>rndal, C.-E. and Lundstr<U+00F6>m, S. (2005): Estimation in Surveys with Nonresponse, John Wiley and Sons, New York.