18. Model Basic with modelr

18. Model Basic with modelr

• Introdunction

• A simple model

• Visualization models

• Formulas and model families

• Missing values

• Other model families
  - Generalized linear models : stats::glm()
  - Generalized additive models : mgcv::gam()
  - Penealized linear models : glmnet::glmnet()
  - Robust linear models : MASS::rlm()
  - Trees : rpart::rpart(), randomForest::randomForest()
  - xgboost::xgboost()

[출처] R for Data Science, Hadley Wickham & Garrett Grolemund, O'REILLY, p345~374

# modelr
# modelr::data_grid()
# modelr::add_predictions()
# modelr::add_residuals()
# modelr::model_matrix()
# modelr::gather_predictions()
# modelr::spread_predictions()
# splines::ns()
# stats::nobs()