person("Damian", "Skrzypiec", role = c("ctb"), email = "damian.j.skrzypiec@@gmail.comm")
Description: 'Rcpp' (free of 'Java'/'Weka') implementation of 'FSelector' entropy-based feature selection
algorithms based on an MDL discretization (Fayyad U. M., Irani K. B.: Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning.
In 13'th International Joint Conference on Uncertainly in Artificial Intelligence (IJCAI93), pages 1022-1029, Chambery, France, 1993.) <https://www.ijcai.org/Proceedings/93-2/Papers/022.pdf>
with a sparse matrix support. It is also equipped with a parallel backend.
Imports: Rcpp (>= 0.12.12), foreach, iterators
FSelector, randomForest, doParallel, rpart, MASS, covr,
microbenchmark, pbapply, tibble, rmarkdown, lintr

microbenchmark, pbapply, tibble, rmarkdown, lintr, pkgdown

person("Damian", "Skrzypiec", role = c("ctb"), email = "damian.j.skrzypiec@@gmail.comm"),
person(given = "Patrick", family = "Schratz", role = c("ctb"), email = "patrick.schratz@gmail.com", comment = c(ORCID = "0000-0003-0748-6624"))
microbenchmark, pbapply, tibble, rmarkdown, lintr, pkgdown,

Description: Feature subset selection algorithms modularized in search algorithms and measure utilities. Full list and more information available at <https://dicits.ugr.es/software/FSinR/>.
person("Alfonso",     "Jiménez-Vílchez", email = "i52jivia@uco.es", role = c("aut", "cre")),
person("Francisco",   "Aragón-Royón", email = "far@decsai.ugr.es", role = "aut"),
person("Adan M.",     "Rodriguez", email = "i32muroa@gmail.com", role = "aut"),
person("Antonio",     "Arauzo-Azofra", email = "arauzo@uco.es", role = "aut"),
person("José Manuel", "Benítez", email = "J.M.Benitez@decsai.ugr.es", role = "aut"))
Imports: rpart, neuralnet, class, digest, caret, mlbench, Rdpack, GA,
dplyr, tidyr, prodlim, rlang, purrr, e1071
Author: Alfonso Jiménez-Vílchez [aut, cre],

Suggests: testthat, knitr, rmarkdown, RSNNS

Title: Programs for Analyzing Fourier Transform-Ion Cyclotron Resonance Mass Spectrometry Data
Description: This package was developed partially with funding from the NIH Training Program in Biomolecular Technology (2-T32-GM08799).