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Fit a negative binomial GLM to a cv_set

Usage

fit_glm_nb(
  cv_set,
  y_var,
  id_vars,
  pred_vars,
  return_model = FALSE,
  quantile_levels = c(0.01, 0.025, seq(0.05, 0.95, by = 0.05), 0.975, 0.99)
)

Arguments

cv_set

list object containing analysis and assessment data.frames

y_var

string name of column of observed values

id_vars

names of columns used as keys/ids in data.frames

pred_vars

vector string of predictor variables to use in model

return_model

whether or not to return ranger model object. Default = FALSE.

quantile_levels

quantile levels to use when predicted via quantile regression. Default = c(0.01,0.025, seq(0.05,0.95, by = 0.05), 0.975, 0.99)

Value

dataframe of prediction intervals