Predict method for model functions
predict_model( object, pfun, mclass, pred_data = NULL, pred_cmd = "", conf_lev = 0.95, se = FALSE, dec = 3, envir = parent.frame(), ... )
| object | Return value from |
|---|---|
| pfun | Function to use for prediction |
| mclass | Model class to attach |
| pred_data | Dataset to use for prediction |
| pred_cmd | Command used to generate data for prediction (e.g., 'carat = 1:10') |
| conf_lev | Confidence level used to estimate confidence intervals (.95 is the default) |
| se | Logical that indicates if prediction standard errors should be calculated (default = FALSE) |
| dec | Number of decimals to show |
| envir | Environment to extract data from |
| ... | further arguments passed to or from other methods |
See https://radiant-rstats.github.io/docs/model/regress.html for an example in Radiant