caret, data.table, DBI, doParallel, e1071, grpreg, lme4, odbc,
pROC, R6, ranger, ROCR, RODBC, RSQLite

c(
person("Levi", "Thatcher", email = "levi.thatcher@healthcatalyst.com", role = c("aut", "cre")),
person("Mike", "Mastanduno", email = "michael.mastanduno@healthcatalyst.com", role = "aut"),
person("Michael", "Levy", email = "michael.levy@healthcatalyst.com", role = "aut"),
person("Taylor", "Miller", email = "taylor.miller@healthcatalyst.com", role = "aut"),
person("Taylor", "Larsen", email = "taylor.larsen@healthcatalyst.com", role = "aut"))
A machine learning toolbox tailored to healthcare data.
Aids in data cleaning, model development, hyperparameter tuning, and model
deployment in a production SQL environment. Algorithms currently supported
are Lasso, Random Forest, XGBoost, Kmeans clustering, and Linear Mixed Model.
caret, data.table, DBI, doParallel, e1071, grpreg, lme4, odbc,
pROC, R6, ranger, ROCR, RSQLite, xgboost
Levi Thatcher [aut, cre],
Mike Mastanduno [aut],
Michael Levy [aut],
Taylor Miller [aut],
Taylor Larsen [aut]

c(
person("Levi", "Thatcher", email = "levi.thatcher@healthcatalyst.com", role = "aut"),
person("Michael", "Levy", email = "michael.levy@healthcatalyst.com", role = c("aut", "cre")),
person("Mike", "Mastanduno", email = "michael.mastanduno@healthcatalyst.com", role = "aut"),
person("Taylor", "Larsen", email = "taylor.larsen@healthcatalyst.com", role = "aut"),
person("Taylor", "Miller", email = "taylor.miller@healthcatalyst.com", role = "aut"))
A machine learning toolbox tailored to healthcare data.
Aids in data cleaning, model development, hyperparameter tuning, and model
deployment in a production 'SQL' environment. Algorithms currently supported
are Lasso, Random Forest, Extreme Gradient Boosting, K-means clustering, and Linear Mixed Modeling.
caret, data.table, DBI, doParallel, dplyr, e1071, grpreg,
lme4, odbc, pROC, R6, ranger, ROCR, RSQLite, xgboost
Levi Thatcher [aut],
Michael Levy [aut, cre],
Mike Mastanduno [aut],
Taylor Larsen [aut],
Taylor Miller [aut]