bayesNormalPrediction: Obtain a Bayesian prediction interval
In fabPrediction: Compute FAB (Frequentist and Bayes) Conformal Prediction Intervals
View source: R/bayesNormalPrediction.R
bayesNormalPrediction R Documentation
Obtain a Bayesian prediction interval
Description
This function computes a Bayesian prediction interval based on a normal model.
Usage
bayesNormalPrediction(Y, alpha = 0.15, mu = 0, tau2 = 1)
Arguments
Y
Observed data vector
alpha
Prediction error rate
mu
Prior expected mean of the population mean
tau2
Prior expected variance of the population mean
Value
pred object
fabPrediction documentation built on May 29, 2024, 7:05 a.m.
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View source: R/bayesNormalPrediction.R
| bayesNormalPrediction | R Documentation |
Obtain a Bayesian prediction interval
Description
This function computes a Bayesian prediction interval based on a normal model.
Usage
bayesNormalPrediction(Y, alpha = 0.15, mu = 0, tau2 = 1)
Arguments
Y |
Observed data vector |
alpha |
Prediction error rate |
mu |
Prior expected mean of the population mean |
tau2 |
Prior expected variance of the population mean |
Value
pred object
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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