Imports: caret, doParallel, dplyr, ggplot2,foreach, httr, magrittr,
methods, plotROC, plyr, raster, reshape2, sp, leaflet

Title: Calibrates and Reweights Units in Samples
Description: 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.
Suggests: testthat, ggplot2, Rglpk, slam, xtable

Description: 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

Suggests: testthat, ggplot2, Rglpk, slam, xtable, magrittr

Title: Intraclass Correlation Coefficient for Count Data
Author: Josep L. Carrasco <jlcarrasco@ub.edu>
Maintainer: Josep L. Carrasco <jlcarrasco@ub.edu>
Imports: glmmTMB, ggplot2, Deriv, gridExtra, VGAM, dplyr
Description: Estimates the intraclass correlation coefficient (ICC) for count data to assess repeatability (intra-methods concordance) and concordance (between-method concordance). In the concordance setting, the ICC is equivalent to the concordance correlation coefficient estimated by variance components. The ICC is estimated using the estimates from generalized linear mixed models. The within-subjects distributions considered are: Poisson; Negative Binomial with additive and proportional extradispersion; Zero-Inflated Poisson; and Zero-Inflated Negative Binomial with additive and proportional extradispersion. The statistical methodology used to estimate the ICC with count data can be found in Carrasco (2010) <doi:10.1111/j.1541-0420.2009.01335.x>.