Create a Governed Prediction Grid — create_prediction

Creates a Cartesian prediction grid from declared model predictors. Numeric covariates are held at an observed typical value unless values are supplied explicitly through at.

Usage

create_prediction_grid(
  x,
  variables = NULL,
  at = list(),
  numeric_at = c("median", "mean"),
  max_rows = 5000L
)

Arguments

x: A gp3bayes fit or approved model specification.
variables: Optional variables to vary. By default the declared condition and non-identifier predictors are considered.
at: Named list of explicit values for selected variables.
numeric_at: One of "median" or "mean" for numeric covariates not supplied in at.
max_rows: Maximum permitted grid size.

Value

A data frame suitable for predict_model().