Title: Feature-Based Landscape Analysis of Continuous and Constraint
Description: Contains tools and features, which can be used for an exploratory
landscape analysis of continuous optimization problems. Those are able to
quantify rather complex properties, such as the global structure,
separability, etc., of continuous optimization problems.
Authors@R: c(person("Pascal", "Kerschke", role = c("aut", "cre"),
person("Jan", "Dagefoerde", role = "aut"))
Depends: R (>= 3.0.0), BBmisc, checkmate
Suggests: devtools, e1071, expm, lhs, MASS, Matrix, mda, mlbench, mlr,
numDeriv, parallel, parallelMap, plyr, RANN, rpart, shape,

Description: Contains tools and features, which can be used for an Exploratory
Landscape Analysis of single-objective continuous optimization problems.
Those features are able to quantify rather complex properties, such as the
global structure, separability, etc., of the optimization problems.
person("Jan", "Dagefoerde", role = "ctb"))
Depends: R (>= 3.0.0), BBmisc, checkmate, mlr
Suggests: devtools, e1071, expm, lhs, MASS, Matrix, mda, mlbench,

Landscape Analysis (ELA) of single-objective continuous optimization problems.
person("Christian", "Hanster", role = "ctb"),
numDeriv, parallel, parallelMap, ParamHelpers, plyr, RANN,

Title: Feature-Based Landscape Analysis of Continuous and Constrained
Suggests: devtools, e1071, expm, ggplot2, lhs, MASS, Matrix, mda,
mlbench, numDeriv, parallel, parallelMap, ParamHelpers, plotly,
plyr, RANN, rpart, shape, shiny, smoof, testthat

plyr, RANN, R.rsp, rpart, shape, shiny, smoof, testthat

Description: Tools and features for "Exploratory Landscape Analysis (ELA)" of
Suggests: devtools, e1071, ggplot2, lhs, MASS, Matrix, mda, mlbench,
numDeriv, parallel, parallelMap, ParamHelpers, plotly, plyr,
RANN, R.rsp, rpart, shape, shiny, smoof, testthat

Title: Implementation of Flag Aggregation
Authors@R: c(person("Mátyás", "Mészáros", email = "matyas.meszaros@ec.europa.eu", role = c("aut", "cre")),
person("Matteo", "Salvati", email = "salvati.matteo@hotmail.fr", role = "aut"))
Description: Three methods are implemented in R to facilitate the aggregations of flags in official statistics.
From the underlying flags the highest in the hierarchy, the most frequent, or with the highest total weight
is propagated to the flag(s) for EU or other aggregates. Below there are some reference documents for the topic:
Suggests: tidyr, eurostat, knitr, rmarkdown, testthat