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DESCRIPTION
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DESCRIPTION
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Package: mikropml
Title: User-Friendly R Package for Supervised Machine Learning Pipelines
Version: 1.6.1.9000
Date: 2023-08-21
Authors@R:
c(person(given = "Begüm",
family = "Topçuoğlu",
role = "aut",
email = "[email protected]",
comment = c(ORCID = "0000-0003-3140-537X")),
person(given = "Zena",
family = "Lapp",
role = "aut",
email = "[email protected]",
comment = c(ORCID = "0000-0003-4674-2176")),
person(given = "Kelly",
family = "Sovacool",
role = c("aut", "cre"),
email = "[email protected]",
comment = c(ORCID = "0000-0003-3283-829X")),
person(given = "Evan",
family = "Snitkin",
role = "aut",
comment = c(ORCID = "0000-0001-8409-278X")),
person(given = "Jenna",
family = "Wiens",
role = "aut",
comment = c(ORCID = "0000-0002-1057-7722")),
person(given = "Patrick",
family = "Schloss",
role = "aut",
email = "[email protected]",
comment = c(ORCID = "0000-0002-6935-4275")),
person(given = "Nick",
family = "Lesniak",
role = "ctb",
email = "[email protected]",
comment = c(ORCID = "0000-0001-9359-5194")),
person(given = "Courtney",
family = "Armour",
role = "ctb",
email = "[email protected]",
comment = c(ORCID = "0000-0002-5250-1224")),
person(given = "Sarah",
family = "Lucas",
role = "ctb",
email = "[email protected]",
comment = c(ORCID = "0000-0003-1676-5801")))
Description: An interface to build machine learning models for
classification and regression problems. 'mikropml' implements the ML
pipeline described by Topçuoğlu et al. (2020)
<doi:10.1128/mBio.00434-20> with reasonable default options for data
preprocessing, hyperparameter tuning, cross-validation, testing, model
evaluation, and interpretation steps. See the website
<https://www.schlosslab.org/mikropml/> for more information,
documentation, and examples.
License: MIT + file LICENSE
URL: https://www.schlosslab.org/mikropml/,
https://github.com/SchlossLab/mikropml
BugReports: https://github.com/SchlossLab/mikropml/issues
Depends:
R (>= 4.1.0)
Imports:
caret,
dplyr,
e1071,
glmnet,
kernlab,
MLmetrics,
randomForest,
rlang,
rpart,
stats,
utils,
xgboost
Suggests:
assertthat,
doFuture,
forcats,
foreach,
future,
future.apply,
furrr,
ggplot2,
knitr,
progress,
progressr,
purrr,
rmarkdown,
rsample,
testthat,
tidyr
VignetteBuilder:
knitr
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Config/testthat/edition: 3