covr, ggplot2, knitr, magick, microbenchmark, rmarkdown, sf,
testthat, xml2

c(person(given = "Claus O.",
family = "Wilke",
role = c("aut", "cre"),
email = "wilke@austin.utexas.edu",
comment = c(ORCID = "0000-0002-7470-9261")),
person(given = "Thomas Lin",
family = "Pedersen",
role = "aut",
email = "thomasp85@gmail.com",
comment = c(ORCID = "0000-0002-5147-4711")),
person(given = "testthat and Catch authors",
role = "ctb",
comment = "testthat C++ testing code"))
Claus O. Wilke [aut, cre] (<https://orcid.org/0000-0002-7470-9261>),
Thomas Lin Pedersen [aut] (<https://orcid.org/0000-0002-5147-4711>),
testthat and Catch authors [ctb] (testthat C++ testing code)

c(
person("David", "Conde", email = "dconde@eio.uva.es", role = c("aut", "cre")),
person("Miguel A.", "Fernandez", email = "miguelaf@eio.uva.es", role = "aut"),
person("Cristina", "Rueda", email = "cristina.rueda@uva.es", role = "aut"),
person("Bonifacio", "Salvador", email = "bosal@eio.uva.es", role = "aut"))
In classification problems a monotone relation between some
predictors and the classes may be assumed. In this package 'isoboost'
we propose new boosting algorithms, based on LogitBoost, that
incorporate this isotonicity information, yielding more accurate
and easily interpretable rules.
David Conde [aut, cre],
Miguel A. Fernandez [aut],
Cristina Rueda [aut],
Bonifacio Salvador [aut]

person("Theo", "Tacail", email = "theo.tacail@protonmail.com", role = c("aut", "cre"))
A set of functions to run simple and composite box-models to describe the
dynamic or static distribution of stable isotopes in open
or closed systems. The package also allows the sweeping of many
parameters in both static and dynamic conditions. It also comes
with a post-run plotting interface built under shiny.
The mathematical models used in this package are derived from Albarede, 1995,
Introduction to Geochemical Modelling, Cambridge University Press,
Cambridge <doi:10.1017/CBO9780511622960>.
stringr, readxl, dplyr, data.table, deSolve, rlang, grid,
metR, shiny, shinyFiles, shinythemes, shinyjs, DT, ggplot2,
ggrepel, qgraph, writexl, R.utils, fs