devtools, e1071, expm, ggplot2, lhs, MASS, Matrix, mda,
mlbench, numDeriv, parallel, parallelMap, ParamHelpers, plotly,
plyr, RANN, R.rsp, rpart, shape, shiny, smoof, testthat

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

c(person("Mátyás", "Mészáros", email = "matyas.meszaros@ec.europa.eu", role = c("aut", "cre")),
person("Matteo", "Salvati", email = "salvati.matteo@hotmail.fr", role = "aut"))
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:
<https://sdmx.org/wp-content/uploads/CL_OBS_STATUS_v2_1.docx>,
<https://sdmx.org/wp-content/uploads/CL_CONF_STATUS_1_2_2018.docx>,
<http://ec.europa.eu/eurostat/data/database/information>,
<http://www.oecd.org/sdd/33869551.pdf>,
<https://sdmx.org/wp-content/uploads/CL_OBS_STATUS_implementation_20-10-2014.pdf>.
tidyr, eurostat, knitr, rmarkdown, testthat
Mátyás Mészáros [aut, cre],
Matteo Salvati [aut]

Highlight, Annotate, and Format your R Source Code
c(person(given = "Kelly",
family = "Bodwin",
role = c("aut", "cre"),
email = "kelly@bodwin.us"),
person(given = "Hunter",
family = "Glanz",
role = "aut"))
Facilitates easier formatting and highlighting of R
source code in a R Markdown-based presentation. The main goal of the
package is to allow users to preserve their code creation process
within code chunks, then to specify formatting details for the source
code, such as highlighting of particular syntactical elements.
dplyr, evaluate, ggplot2, glue, knitr, magrittr, purrr,
rmarkdown, stringr
learnr, rstudioapi, shiny, testthat (>= 2.1.0)
Kelly Bodwin [aut, cre],
Hunter Glanz [aut]