HPDinterval.stFit: Compute Highest posterior density intervals from posterior...
In jmhewitt/telefit: Estimation and Prediction for Remote Effects Spatial Process Models
Description
Usage
Arguments
Examples
View source: R/HPDinterval.stFit.R
Description
Compute Highest posterior density intervals from posterior samples
Usage
1
2
## S3 method for class 'stFit'
HPDinterval(stFit, burn = 1, prob = 0.95)
Arguments
stFit
stFit object containing posterior samples for model
burn
number of posterior samples to reject before computing estimates
prob
The target probability content of the intervals
Examples
1
2
data("coprecip.fit")
HPDinterval.stFit(coprecip.fit, burn = 50)
jmhewitt/telefit documentation built on Feb. 9, 2020, 7:15 p.m.
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Description Usage Arguments Examples
View source: R/HPDinterval.stFit.R
Description
Compute Highest posterior density intervals from posterior samples
Usage
1 2 | ## S3 method for class 'stFit'
HPDinterval(stFit, burn = 1, prob = 0.95)
|
Arguments
stFit |
stFit object containing posterior samples for model |
burn |
number of posterior samples to reject before computing estimates |
prob |
The target probability content of the intervals |
Examples
1 2 | data("coprecip.fit")
HPDinterval.stFit(coprecip.fit, burn = 50)
|
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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