person("Robert", "Nuske", role=c("aut", "cre"), email="robert.nuske@mailbox.org",

Title: Simply Beautiful PDF Letters from Markdown
Description: Write beautiful yet customizable letters in R Markdown and
directly obtain the finished PDF. Smooth generation of PDFs is realized by
'rmarkdown', the 'pandoc-letter' template and the 'KOMA-Script' letter class.
'KOMA-Script' provides enhanced replacements for the standard 'LaTeX' classes
with emphasis on typography and versatility. 'KOMA-Script' is particularly
useful for international writers as it handles various paper formats well,
provides layouts for many common window envelope types (e.g. German, US,
French, Japanese) and lets you define your own layouts. The package comes
with a default letter layout based on 'DIN 5008B'.

Description: Write beautiful yet versatile letters in R Markdown. PDFs are
generated using the 'KOMA-Script' letter class and the 'pandoc-letter'
template. 'KOMA-Script' caters to the international writer. It provides
layouts for many common window envelope types (e.g. German, US, French,
Japanese) and allows you to define your own. The package comes with a default

person(c("Spiro"), "Maroulis", role = "ctb", email = "Spiro.Maroulis@asu.edu"),

Title: Variable Selection by Revisited Knockoffs Procedures
Authors@R: c(person("Clemence", "Karmann", email = "clemence.karmann@gmail.com", role = c("aut","cre")),person("Aurelie", "Gueudin", email = "aurelie.gueudin@univ-lorraine.fr", role = c("aut")))
Description: Performs variable selection for many types of L1-regularised regressions using the revisited knockoffs procedure. This procedure uses a matrix of knockoffs of the covariates independent from the response variable Y. The idea is to determine if a covariate belongs to the model depending on whether it enters the model before or after its knockoff. The procedure suits for a wide range of regressions with various types of response variables. Regression models available are exported from the R packages 'glmnet' and 'ordinalNet'. Based on the paper linked to via the URL below: Gegout A., Gueudin A., Karmann C. (2019) <arXiv:1907.03153>.