Imports: shiny, ggplot2 (>= 2.0.0), scales, grDevices, gridExtra,

Title: Approximate fine balance when exact fine balance is not
Description: Approximate fine balance when exact fine balance is not

Title: Additional Functions for Model Tuning
Description: The ability to tune models is important. 'finetune' enhances the
'tune' package by providing more  specialized methods for finding reasonable
values of model tuning parameters.  Two racing methods described by Kuhn (2014)
<arXiv:1405.6974> are included. An  iterative search method using generalized
simulated annealing (Bohachevsky, Johnson and Stein, 1986)
Suggests: spelling, BradleyTerry2, lme4, rsample, recipes (>= 0.1.15),
modeldata, rpart, parsnip, testthat, covr, discrim, klaR
Imports: tibble, rlang, yardstick, workflows, purrr, cli, dials, dplyr,

Description: The ability to tune models is important. 'finetune' enhances
the 'tune' package by providing more specialized methods for finding
reasonable values of model tuning parameters.  Two racing methods
described by Kuhn (2014) <arXiv:1405.6974> are included. An iterative
search method using generalized simulated annealing (Bohachevsky,
Imports: cli, dials, dplyr, ggplot2, purrr, ranger, rlang, tibble,
tidyr, tidyselect, utils, vctrs, workflows (>= 0.2.3),
Suggests: BradleyTerry2, covr, discrim, klaR, lme4, modeldata, parsnip,
recipes (>= 0.1.15), rpart, rsample, spelling, testthat

Imports: cli, dials, dplyr, ggplot2, purrr, rlang, tibble, tidyr,
tidyselect, utils, vctrs, workflows (>= 0.2.3)
ranger, recipes (>= 0.1.15), rpart, rsample, spelling,

Imports: cli, dials (>= 0.1.0), dplyr, ggplot2, purrr, rlang, tibble,
tidyr, tidyselect, utils, vctrs, workflows (>= 0.2.6)
Suggests: BradleyTerry2, covr, discrim, klaR, lme4, modeldata, parsnip
(>= 0.2.1), ranger, recipes (>= 0.2.0), rpart, rsample,

tidyr, tidyselect, utils, workflows (>= 0.2.6)

Imports: cli, dials (>= 0.1.0), dplyr, ggplot2, parsnip (>= 1.0.2),
purrr, rlang, tibble, tidyr, tidyselect, utils, workflows (>=
Suggests: BradleyTerry2, covr, discrim, kknn, klaR, lme4, modeldata,
ranger, recipes (>= 0.2.0), rpart, rsample, spelling, testthat,