Title: Stepwise Linear Models for Binary Classification Problems under
Description: Stepwise models for the optimal linear combination of continuous variables in binary classification problems under Youden Index optimisation. Information on the models implemented can be found at Aznar-Gimeno et al. (2021) <doi:10.3390/math9192497>.
Author: Rocio Aznar-Gimeno [aut, cre] (<https://orcid.org/0000-0003-1415-146X>),
Luis Mariano Esteban [aut] (<https://orcid.org/0000-0002-3007-302X>),
Rafael del Hoyo-Alonso [aut] (<https://orcid.org/0000-0003-2755-5500>)

Title: Sorted L1 Penalized Estimation (SLOPE)
Author: Malgorzata Bogdan, Ewout van den Berg, Chiara Sabatti, Weijie Su,
Description: Efficient procedures for Sorted L1 Penalized Estimation (SLOPE).
The sorted L1 norm is useful for statistical estimation and testing,
particularly for variable selection in the linear model.
Suggests: knitr, testthat, isotone, R.matlab

c(person("Johan", "Larsson", role = c("aut", "cre"),
person("Jonas",  "Wallin", role = "aut",
person("Malgorzata", "Bogdan", role = "aut"),
person("Ewout", "van den Berg", role = "aut"),
person("Chiara", "Sabatti", role = "aut"),
person("Emmanuel", "Candes", role = "aut"),
person("Evan", "Patterson", role = "aut"),
person("Jerome", "Friedman", role = "ctb",
comment = "code adapted from 'glmnet'"),
person("Trevor", "Hastie", role = "ctb",
person("Rob", "Tibshirani", role = "ctb",
person("Balasubramanian", "Narasimhan", role = "ctb",
comment = "code adapted from 'glmnet'"))
Description: Efficient implementations for Sorted L-One Penalized Estimation
(SLOPE): generalized linear models regularized with the sorted L1-norm
(Bogdan et al. (2015) <doi:10/gfgwzt>). Supported models include ordinary
least-squares regression, binomial regression, multinomial regression, and
Poisson regression. Both dense and sparse  predictor matrices are supported.
In addition, the package features predictor screening rules that enable fast
and efficient solutions to high-dimensional problems.
Imports: foreach, lattice, Matrix, methods, Rcpp
LinkingTo: Rcpp, RcppArmadillo (>= 0.9.850.1.0)
Suggests: caret, covr, glmnet, knitr, rmarkdown, spelling, testthat (>=
Author: Johan Larsson [aut, cre] (<https://orcid.org/0000-0002-4029-5945>),
Jerome Friedman [ctb] (code adapted from 'glmnet'),
Trevor Hastie [ctb] (code adapted from 'glmnet'),
Rob Tibshirani [ctb] (code adapted from 'glmnet'),
Balasubramanian Narasimhan [ctb] (code adapted from 'glmnet'),
Noah Simon [ctb] (code adapted from 'glmnet'),
Junyang Qian [ctb] (code adapted from 'glmnet')