bart-internal: Developer functions for predictions via BART models
In topepo/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 "numeric", "class", "prob", "conf_int", "pred_int",
"quantile", "time", "hazard", "survival", or "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.
topepo/parsnip documentation built on Feb. 18, 2025, 2:04 a.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 |
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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