Title: Quantification of Asymmetric Dependence
Author: Florian Griessenberger, Robert R. Junker, Wolfgang Trutschnig
Description: A copula-based measure for quantifying asymmetry in dependence and associations.
Imports: foreach, doParallel, copula, plyr, parallel

Imports: data.table, foreach, doParallel, copula, plyr, parallel,

person("Florian", "Griessenberger", , "florian.griessenberger@sbg.ac.at", role = c("aut", "cre")
person("Robert R.", "Junker", role = "aut"
person("Wolfgang", "Trutschnig", role = "aut")
Imports: data.table, foreach, doParallel, copula, parallel, viridis,

Description: A copula-based measure for quantifying asymmetry in dependence and associations. Documentation and theory about 'qad' is provided
by the paper by Junker, Griessenberger & Trutschnig (2021, <doi:10.1016/j.csda.2020.107058>), and the paper by Trutschnig (2011, <doi:10.1016/j.jmaa.2011.06.013>).
Imports: ggplot2, data.table, copula, viridis, ggExtra, dplyr, cowplot,

Suggests: rmarkdown, reshape2, knitr, testthat (>= 3.0.0)

Title: Heuristics for the Quadratic Assignment Problem (QAP)
person("Franz", "Rendl", role = c("ctb", "cph")))
Description: Implements heuristics for the Quadratic Assignment Problem (QAP). Currently only a simulated annealing heuristic is available.

Description: Implements heuristics for the Quadratic Assignment Problem (QAP). Although, the QAP was introduced as a combinatorial optimization problem for the facility location problem in operations research, it also has many applications in data analysis. The problem is NP-hard and the package implements a simulated annealing heuristic.

Title: Quantile Absolute Prediction Error
Author: Alicja Wolny-Dominiak, Tomasz Zadlo
Imports: lme4, Matrix, mvtnorm, plyr, dplyr
Description: Estimates Quantile Absolute Prediction Error using bootstrap procedures. The residual, parametric and double bootstrap is used.

Title: Quantile of Absolute Prediction Errors
Description: Estimates QAPE using bootstrap procedures. The residual, parametric and double bootstrap is used. The test of normality using Cholesky decomposition is added.