bmaPDC: bmaPDC
In DataScienceSalon/Bayesian-Regression: Bayesian Linear Regression and Default Priors
Description
Usage
Arguments
Value
Author(s)
See Also
Description
bmaPDC Reports the posterior distribution of coefficients for a model
Usage
1
Arguments
m
A BAS.lm object.
estimator
Estimator to be used when calculating the coefficients
Value
List with descriptive statistics and credible intervals for the means
Author(s)
John James, jjames@datasciencesalon.org
See Also
Other BMA functions: bestPredictions,
bmaAnalysis, bmaComplexity,
bmaEvaluation, bmaPIPPlots,
bmaPIP, 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
bmaPDC Reports the posterior distribution of coefficients for a model
Usage
1 |
Arguments
m |
A BAS.lm object. |
estimator |
Estimator to be used when calculating the coefficients |
Value
List with descriptive statistics and credible intervals for the means
Author(s)
John James, jjames@datasciencesalon.org
See Also
Other BMA functions: bestPredictions,
bmaAnalysis, bmaComplexity,
bmaEvaluation, bmaPIPPlots,
bmaPIP, 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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