fitModelBasedHte: Fit model-based heterogeneity of treatment effect
In rekkasA/SmoothHte: Fit smooth risk-based absolute benefit predictions
Description
Fits a model-based approach to treatment effect heterogeneity
Usage
1
fitModelBasedHte(data, settings)
Arguments
data
A dataframe containing at least a column named
"riskLinearPredictor" and column named "outcome".
Currently, only binary outcomes are supported.
settings
A list of settings generated from createModelBasedSettings()
rekkasA/SmoothHte documentation built on Sept. 8, 2021, 2:40 a.m.
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Description
Fits a model-based approach to treatment effect heterogeneity
Usage
1 | fitModelBasedHte(data, settings)
|
Arguments
data |
A dataframe containing at least a column named "riskLinearPredictor" and column named "outcome". Currently, only binary outcomes are supported. |
settings |
A list of settings generated from |
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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