Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 7 of 7 found.
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CalibrateSSB (Package: CalibrateSSB) : Calibration weighting and estimation

Compute weights by calibration and corresponding estimates, totals and residuals
● Data Source: CranContrib
● Keywords:
● Alias: CalibrateSSB
● 0 images

CrossStrata (Package: CalibrateSSB) : Crossing several factor variables

Create new factor variable by crossing levels in several variables
● Data Source: CranContrib
● Keywords:
● Alias: CrossStrata
● 0 images

LinCombMatrix (Package: CalibrateSSB) : Creation of linear combination matrices

Create matrices for changes (LagDiff), means (Period) and mean changes (PeriodDiff).
● Data Source: CranContrib
● Keywords:
● Alias: LagDiff, LinCombMatrix, Period, PeriodDiff
● 0 images

PanelEstimation (Package: CalibrateSSB) : Variance estimation for panel data

Variance estimation of linear combinations of totals and ratios based on output from wideFromCalibrate
● Data Source: CranContrib
● Keywords:
● Alias: PanelEstimation
● 0 images

WideFromCalibrate (Package: CalibrateSSB) : Rearrange output from CalibrateSSB. Ready for input to PanelEstimation.

One row for each id and one column for each wave.
● Data Source: CranContrib
● Keywords:
● Alias: WideFromCalibrate
● 0 images

AkuData (Package: CalibrateSSB) : Generate test data

Generate test data of eight quarters
● Data Source: CranContrib
● Keywords:
● Alias: AkuData, testDataBasis
● 0 images

CalibrateSSB-package (Package: CalibrateSSB) : Weighting and Estimation for Panel Data with Non-Response

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 Särndal and Lundström (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.
● Data Source: CranContrib
● Keywords: calibration
● Alias: CalibrateSSB-package
● 0 images