person("Sebastien", "Rochette", , "sebastien@thinkr.fr", role = c("aut", "cre"),
Description: Use Rmarkdown First method to build your package.  Start your
provided in your project, then inflated as a package.  Inflating the
Imports: attachment, cli, desc, devtools, glue, here (>= 1.0.0),
magrittr, parsermd (>= 0.1.0), roxygen2, stats, stringr,
tibble, tidyr, tools, usethis (>= 2.0.0), utils
Suggests: knitr, pkgload, rcmdcheck, rmarkdown, rstudioapi, spelling,

magrittr, parsermd (>= 0.1.0), roxygen2, stats, stringi,
Suggests: knitr, pkgload, rcmdcheck, rmarkdown, rstudioapi, testthat

Title: Build a Package from Rmarkdown Files

Title: Fused Lasso for High-Dimensional Regression over Groups
person("Frank", "Dondelinger", email = "fdondelinger.work@gmail.com", role = c("aut", "cre")),
person("Olivier", "Wilkinson", role = c("aut"))
Description: Enables high-dimensional penalized regression across heterogeneous
subgroups. Fusion penalties are used to share information about the linear
parameters across subgroups. The underlying model is described
in detail in Dondelinger and Mukherjee (2017) <arXiv:1611.00953>.
Suggests: testthat, ggplot2, knitr, rmarkdown
Imports: Matrix, irlba, Rcpp, glmnet, RSpectra

Title: Embedding 'FusionCharts Javascript' Library in R
Description: FusionCharts provides awesome and minimalist functions to make beautiful interactive charts <https://www.fusioncharts.com/>.
Suggests: rmarkdown, knitr, shiny, testthat
Author: Alex Yahiaoui Martinez [aut, cre]
Maintainer: Alex Yahiaoui Martinez <yahiaoui-martinez.alex@outlook.com>

Imports: htmlwidgets, jsonlite, magrittr, caret, pROC, reshape2, shiny,

Imports: htmlwidgets, jsonlite, magrittr, shiny

Title: Clustering and Feature Screening using L1 Fusion Penalty
Description: Provides the Big Merge Tracker and COSCI algorithms for convex clustering and
feature screening using L1 fusion penalty. See Radchenko, P. and Mukherjee, G. (2017) <doi:10.1111/rssb.12226> and
T.Banerjee et al. (2017) <doi:10.1016/j.jmva.2017.08.001> for more details.