caret (>= 6.0.78), data.table, DBI, doParallel, dplyr, e1071,
ggplot2, grpreg, lme4, methods, odbc, pROC, R6, ranger (>=
0.8.0), ROCR, RSQLite, xgboost

A machine learning toolbox tailored to healthcare data.
broom, caret (>= 6.0.78), cowplot, data.table, dbplyr, dplyr,
e1071, ggplot2, kknn, lubridate, methods, MLmetrics, purrr,
ranger (>= 0.8.0), recipes (>= 0.1.2), rlang, stringr, tibble,
tidyr,

broom, caret (>= 6.0.78), cowplot, data.table, dbplyr, dplyr,
e1071, ggplot2, glmnet, lubridate, MLmetrics, purrr, ranger (>=
0.8.0), recipes (>= 0.1.3), rlang, stringr, tibble, tidyr,
xgboost

broom, caret (>= 6.0.78), cowplot, data.table, dbplyr, dplyr
(>= 0.7.6), e1071, ggplot2, glmnet, lubridate, MLmetrics,
purrr, ranger (>= 0.8.0), recipes (>= 0.1.3), rlang, ROCR,
stringr, tibble, tidyr, xgboost

c(
person("Levi", "Thatcher", email = "levi.thatcher@healthcatalyst.com", role = "aut"),
person("Michael", "Levy", email = "michael.levy@healthcatalyst.com", role = "aut"),
person("Mike", "Mastanduno", email = "michael.mastanduno@healthcatalyst.com", role = c("aut", "cre")),
person("Taylor", "Larsen", email = "taylor.larsen@healthcatalyst.com", role = "aut"),
person("Taylor", "Miller", email = "taylor.miller@healthcatalyst.com", role = "aut"),
person("Rex", "Sumsion", email = "rex.sumsion@healthcatalyst.com", role = "aut"))
caret (>= 6.0.81), cowplot, data.table, dbplyr, dplyr (>=
0.7.6), e1071, forcats, generics, ggplot2, glmnet, lubridate,
MLmetrics, purrr, ranger (>= 0.8.0), recipes (>= 0.1.3.9002),
rlang, ROCR, stringr, tibble, tidyr, xgboost
Levi Thatcher [aut],
Michael Levy [aut],
Mike Mastanduno [aut, cre],
Taylor Larsen [aut],
Taylor Miller [aut],
Rex Sumsion [aut]

caret (>= 6.0.81), cowplot, data.table, dplyr (>= 0.7.6),
e1071, generics, ggplot2, glmnet, lubridate, MLmetrics, purrr,
ranger (>= 0.8.0), recipes (>= 0.1.3.9002), rlang, ROCR,
stringr, tibble, tidyr, xgboost
covr, DBI, dbplyr, lintr, odbc, testthat

caret (>= 6.0.81), cowplot, data.table, dplyr (>= 1.0.0),
e1071, generics, ggplot2, glmnet, lubridate, MLmetrics, purrr,
ranger (>= 0.8.0), recipes (>= 0.1.3.9002), rlang, ROCR,
stringr, tibble (>= 3.0.0), tidyr, xgboost