cpo.NRMI1: Extract the Conditional Predictive Ordinates (CPOs) from a...
In konkam/BNPdensity: Ferguson-Klass Type Algorithm for Posterior Normalized Random Measures
cpo.NRMI1 R Documentation
Extract the Conditional Predictive Ordinates (CPOs) from a fitted object
Description
Extract the Conditional Predictive Ordinates (CPOs) from a fitted object
Usage
## S3 method for class 'NRMI1'
cpo(object, ...)
Arguments
object
A fit obtained through from the functions MixNRMI1/MixNRMI1cens
...
Further arguments to be passed to generic function, ignored at the moment
Value
A vector of Conditional Predictive Ordinates (CPOs)
Examples
data(acidity)
out <- MixNRMI1(acidity, Nit = 50)
cpo(out)
konkam/BNPdensity documentation built on March 14, 2024, 7:15 a.m.
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| cpo.NRMI1 | R Documentation |
Extract the Conditional Predictive Ordinates (CPOs) from a fitted object
Description
Extract the Conditional Predictive Ordinates (CPOs) from a fitted object
Usage
## S3 method for class 'NRMI1'
cpo(object, ...)
Arguments
object |
A fit obtained through from the functions MixNRMI1/MixNRMI1cens |
... |
Further arguments to be passed to generic function, ignored at the moment |
Value
A vector of Conditional Predictive Ordinates (CPOs)
Examples
data(acidity)
out <- MixNRMI1(acidity, Nit = 50)
cpo(out)
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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