Imports: bayestestR (>= 0.13.0), correlation (>= 0.8.3), datawizard (>=
Suggests: DT, flexdashboard (>= 0.6.0), jsonlite, knitr, rmarkdown,

Description: Functions are provided to determine production frontiers and technical
efficiency measures through non-parametric techniques based upon regression trees.
The package includes code for estimating radial input, output, directional and
additive measures, plotting graphical representations of the scores and the production
frontiers by means of trees, and determining rankings of importance of input variables
in the analysis. Additionally, an adaptation of Random Forest by a set of individual
Efficiency Analysis Trees for estimating technical efficiency is also included. More
Imports: dplyr, conflicted, stats, knitr, ggplot2, ggparty, partykit,
ggrepel, Rdpack, lpSolveAPI, utils, reshape2
Suggests: rmarkdown, testthat, kableExtra, usethis, devtools
Author: Miriam Esteve [cre, aut] (<https://orcid.org/0000-0002-5908-0581>),

Imports: dplyr, conflicted, stats, ggplot2, ggparty, partykit, ggrepel,
Suggests: rmarkdown, testthat, kableExtra, knitr, usethis, devtools

Suggests: rmarkdown, testthat, knitr, kableExtra, usethis, devtools

Suggests: rmarkdown, testthat, knitr, kableExtra, devtools
Packaged: 2022-08-15 14:18:18 UTC; Miriam_Esteve

Title: Create Constraints for Small Test Assembly Problems
person("Benjamin", "Becker", email = "b.becker@iqb.hu-berlin.de", role = c("aut", "cre")),
person("Dries", "Debeer", email = "dries.debeer@kuleuven.be", role = c("aut")))
Description: Provides simple functions to create constraints for small test assembly problems
(e.g. van der Linden (2005, ISBN: 978-0-387-29054-6)) using sparse matrices. Currently,
'GLPK', 'lpSolve', 'Symphony', and 'Gurobi' are supported as solvers. The 'gurobi' package is not available from
any mainstream repository; see <https://www.gurobi.com/downloads/>.
Suggests: testthat (>= 2.1.0), covr, knitr, rmarkdown, readxl,

Description: Provides simple functions to create constraints for small test assembly problems (e.g. van der Linden (2005, ISBN: 978-0-387-29054-6)) using sparse matrices. Currently, only 'Gurobi' is supported as an optimizer.
Suggests: testthat (>= 2.1.0), covr, knitr, rmarkdown, readxl