bart-internal: Developer functions for predictions via BART models
In parsnip: A Common API to Modeling and Analysis Functions
bart-internal R Documentation
Developer functions for predictions via BART models
Description
Developer functions for predictions via BART models
Usage
dbart_predict_calc(obj, new_data, type, level = 0.95, std_err = FALSE)
Arguments
obj
A parsnip object.
new_data
A rectangular data object, such as a data frame.
type
A single character value or NULL. Possible values are:
regression: "numeric"
classification: "class", "prob"
censored regression: "survival", "time", "hazard", "linear_pred"
quantile regression: "quantile"
interval estimates: "conf_int", "pred_int"
other: "raw"
When NULL, predict() will choose an appropriate value based on the
model's mode.
level
Confidence level.
std_err
Attach column for standard error of prediction or not.
parsnip documentation built on May 14, 2026, 5:08 p.m.
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| bart-internal | R Documentation |
Developer functions for predictions via BART models
Description
Developer functions for predictions via BART models
Usage
dbart_predict_calc(obj, new_data, type, level = 0.95, std_err = FALSE)
Arguments
obj |
A parsnip object. |
new_data |
A rectangular data object, such as a data frame. |
type |
A single character value or
When |
level |
Confidence level. |
std_err |
Attach column for standard error of prediction or not. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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