person("Green", "Brice", role="ctb", comment = "patches for LOO CV"),
ggplot2, gridExtra, utils, stats, testthat

person("Brice", "Green", role="ctb", comment = "extra features for LOO CV and visuals"),
forestplot, ggplot2, gridExtra, utils, stats, testthat
Brice Green [ctb] (extra features for LOO CV and visuals),

person("Brice", "Green", role="ctb", comment = "predict(), loo_compare, many visuals"),
Brice Green [ctb] (predict(), loo_compare, many visuals),

data, plotting and pooling measures specific to meta-analysis. This implements many models
Imports: rstan (>= 2.18.1), rstantools (>= 2.1.1), bayesplot, crayon,
forestplot, ggplot2, gridExtra, utils, stats, testthat, methods

forestplot, ggplot2, gridExtra, utils, stats, testthat,

Title: Efficient Model Functions for Bagging
Description: Tree- and rule-based models can be bagged using
this package and their predictions equations are stored
in an efficient format to reduce the model objects size
Suggests: testthat, AmesHousing, recipes, modeldata, covr, yardstick
Imports: hardhat, butcher, rpart, C50, withr, rsample, dplyr, purrr,
furrr, tibble, tidyr, rlang, earth, magrittr, utils, generics,
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>),

Description: Tree- and rule-based models can be bagged using this package
and their predictions equations are stored in an efficient format to
reduce the model objects size and speed.
Imports: butcher, C50, dials, dplyr, earth, furrr, generics, hardhat
(>= 0.1.4), magrittr, purrr, rlang, rpart, rsample, tibble,
Suggests: AmesHousing, covr, modeldata, recipes, rmarkdown, spelling,

person("Max", "Kuhn", , "max@rstudio.com", role = c("aut", "cre"),
Description: Tree- and rule-based models can be bagged
(<doi:10.1007/BF00058655>) using this package and their predictions
equations are stored in an efficient format to reduce the model
(>= 1.1.0), magrittr, purrr, rlang, rpart, rsample, tibble,

Title: Filter Covariance and Correlation Matrices with
Author: Christian Bongiorno and Damien Challet
Description: A method to filter correlation and covariance matrices by averaging
bootstrapped filtered hierarchical clustering. See Ch. Bongiorno and D. Challet,
Covariance matrix filtering with bootstrapped hierarchies (2020) <arXiv:2003.05807>.
Depends: R (>= 3.5.0), fastcluster, matrixStats