Provides user-friendly tools for calibration in survey sampling. The package is production-oriented, and its interface is inspired by the famous popular macro 'Calmar' for SAS, so that 'Calmar' users can quickly get used to 'icarus'. In addition to calibration (with linear, raking and logit methods), 'icarus' features functions for calibration on tight bounds and penalized calibration.
|Author||Antoine Rebecq [aut, cre]|
|Date of publication||2016-10-27 23:58:44|
|Maintainer||Antoine Rebecq <firstname.lastname@example.org>|
addMargin: Adds a margin to marginMatrix
calibration: Calibration on margins
calibrationMarginStats: Stats for initial weights, calibrated weights, and margins.
calWeights_ex2: Calibration weights for 'data_ex2'
colToDummies: Changes a column containing multiple values to a matrix of...
data_ex2: A small example sample for calibration with Icarus
dataPop: Test population for Icarus.
HTmean: Weighted estimator for the mean
HTtotal: Weighted estimator for total
marginStats: Stats for initial weights, calibrated weights, and margins.
poptest_calmar: Calibration on population test - made on Calmar2
poptest_calmar_nr: Calibration with nonresponse on population test - made on...
regroupCalibrationModalities: Regroup calibration modalities
regroupModalities: Regroup elements of a vector
table_margins_1: Margins for calibration of test population
table_margins_2: Margins for calibration of test population
weightedMean: Weighted estimator for the mean
weightedTotal: Weighted estimator for total