Generate prediction from model object — predict_general

predict_general_data() generates a prediction vector from a model object and full data frame, putting this prediction back into the data frame.

Usage

predict_general_data(df, model, pred_col, pred_upper_col, pred_lower_col)

df: Data frame of model data.
model: An R function that outputs a model object with a predict.model generic, where stats::family() contains an inverse link function linkinv and predict.model() accepts the se.fit = TRUE argument and returns confidence intervals. This includes stats::lm, stats::glm, and lme4::lmer.
pred_col: Column name to store predicted value.
pred_upper_col: Column name to store upper bound of confidence interval generated by the predict_... function. This stores the full set of generated values for the upper bound.
pred_lower_col: Column name to store lower bound of confidence interval generated by the predict_... function. This stores the full set of generated values for the lower bound.

A data frame.