bmaPIP: bmaPIP
In DataScienceSalon/Bayesian-Regression: Bayesian Linear Regression and Default Priors
Description
Usage
Arguments
Value
Author(s)
See Also
Description
bmaPIP Summarizes parameter inclusing probabilities across models
Usage
1
bmaPIP(models)
Arguments
models
List of BMA models
Value
Data frame containing parameter inclusion probabilities for each
model
Author(s)
John James, jjames@datasciencesalon.org
See Also
Other BMA functions: bestPredictions,
bmaAnalysis, bmaComplexity,
bmaEvaluation, bmaPDC,
bmaPIPPlots,
bmaPerformanceReport,
bmaPerformance,
bmaPredictModels, bmaPredict,
bma
DataScienceSalon/Bayesian-Regression documentation built on May 29, 2019, 12:06 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
bmaPIP Summarizes parameter inclusing probabilities across models
Usage
1 | bmaPIP(models)
|
Arguments
models |
List of BMA models |
Value
Data frame containing parameter inclusion probabilities for each model
Author(s)
John James, jjames@datasciencesalon.org
See Also
Other BMA functions: bestPredictions,
bmaAnalysis, bmaComplexity,
bmaEvaluation, bmaPDC,
bmaPIPPlots,
bmaPerformanceReport,
bmaPerformance,
bmaPredictModels, bmaPredict,
bma
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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