Miscellaneous plotting and utility functions
High-featured panel functions for bwplot and xyplot,
various plot management helpers, some other utility functions

c(person("Lutz", "Prechelt", role = c("aut","cre"),
email = "prechelt@inf.fu-berlin.de"))
High-featured panel functions for bwplot and xyplot,
some plot management helpers, various convenience functions

Adaptive and Automatic Gradient Boosting Computations
Berent Ånund Strømnes Lunde <lundeberent@gmail.com>
Fast and automatic gradient tree boosting designed
to avoid manual tuning and cross-validation by utilizing an information
theoretic approach. This makes the algorithm adaptive to the dataset at
hand; it is completely automatic, and with minimal worries of overfitting.
Consequently, the speed-ups relative to state-of-the-art implementations
can be in the thousands while mathematical and technical knowledge required
on the user are minimized.

c(
person("Max", "Kuhn", , "max@rstudio.com", role = "aut",
comment = c(ORCID = "0000-0003-2402-136X")),
person("Qiushi", "Yan", , "qiushi.yann@gmail.com", role = c("aut", "cre")),
person("Steven", "Pawley", , "dr.stevenpawley@gmail.com", role = "aut"),
person("RStudio", role = "cph")
)
Create and evaluate models using 'tidymodels' and 'h2o' <https://h2o.ai/>. The
package enables users to specify 'h2o' as an engine for several
modeling methods.
dplyr, glue, h2o (>= 3.36.0.4), hardhat, purrr, rlang, stats,
tibble, utils
Max Kuhn [aut] (<https://orcid.org/0000-0003-2402-136X>),
Qiushi Yan [aut, cre],
Steven Pawley [aut],
RStudio [cph]

cli, dials, dplyr, generics (>= 0.1.3), ggplot2, glue, h2o (>=
3.38.0.1), hardhat (>= 1.1.0), methods, purrr, rlang, rsample,
stats, tibble, tidyr, tune (>= 1.0.1), vctrs, workflows
covr, knitr, modeldata, recipes, rmarkdown, testthat (>=
3.0.0)

An R Implementation of the 'Align-GVGD' Method
c(
person(given = "Ramiro", family = "Magno",
email = "ramiro.magno@gmail.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-5226-3441")),
person(given = "Isabel", family = "Duarte",
email = "iduarte.scientist@gmail.com",
role = "aut",
comment = c(ORCID = "0000-0003-0060-2936")),
person(given = "Ana-Teresa", family = "Maia",
email = "maia.anateresa@gmail.com", role = "aut",
comment = c(ORCID = "0000-0002-0454-9207")),
person("CINTESIS",
role = c("cph", "fnd"))
)
'Align-GVGD' ('A-GVGD') is a method to predict the impact of
'missense' substitutions based on the properties of amino acid side
chains and protein multiple sequence alignments
<doi:10.1136/jmg.2005.033878>. 'A-GVGD' is an extension of the original
'Grantham' distance to multiple sequence alignments. This package
provides an alternative R implementation to the web version found on
<http://agvgd.hci.utah.edu/>.
crayon, dplyr, grantham, magrittr, rlang, seqinr, stringr,
tibble, vctrs
Ramiro Magno [aut, cre] (<https://orcid.org/0000-0001-5226-3441>),
Isabel Duarte [aut] (<https://orcid.org/0000-0003-0060-2936>),
Ana-Teresa Maia [aut] (<https://orcid.org/0000-0002-0454-9207>),
CINTESIS [cph, fnd]