do_prediction: Predict values from a fitted distribution
In bprucka/uttr: Unleashing the Tidyverse - Easy modeling in R

Description Usage Arguments Details Value Examples

do_prediction() returns the predicted value for a set of predictors for a fitted model

1	do_prediction(model_array, new_values = NA)

`model_array`	a tibble retreived from the `fit_model()` function
`new_values`	a data frame or tibble contianing the values of each predictor to predict at. Defaults to the given dataset.

Values are returned on the original scale of the outcome variable.

If a group was given in fit_model() then a prediction is given for each group separately.

A tibble containing each predicted value along with which values were used for the prediction. Additional model information is returned including the type of distribution the model equation, and grouping information.

trial_data <- tibble(w = runif(20, 0, 2), x = sample(c(1,2), 20, TRUE), y = rbinom(20, 15, .75))
new_data <- tibble(w = runif(5, 1, 2.5))

pois_model <- make_pois(w) %>% fit_model(frequentist, trial_data, y)
pois_model %>% do_prediction()
pois_model %>% do_prediction(new_data)
pois_model %>% do_prediction(new_data, 3)