cpo.NRMI2: Extract the Conditional Predictive Ordinates (CPOs) from a...
In BNPdensity: Ferguson-Klass Type Algorithm for Posterior Normalized Random Measures
cpo.NRMI2 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 'NRMI2'
cpo(object, ...)
Arguments
object
A fit obtained through from the function MixNRMI2/MixNRMI2cens
...
Further arguments to be passed to generic function, ignored at the moment
Value
A vector of Conditional Predictive Ordinates (CPOs)
Examples
data(acidity)
out <- MixNRMI2(acidity, Nit = 50)
cpo(out)
BNPdensity documentation built on Aug. 8, 2025, 7:20 p.m.
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| cpo.NRMI2 | 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 'NRMI2'
cpo(object, ...)
Arguments
object |
A fit obtained through from the function MixNRMI2/MixNRMI2cens |
... |
Further arguments to be passed to generic function, ignored at the moment |
Value
A vector of Conditional Predictive Ordinates (CPOs)
Examples
data(acidity)
out <- MixNRMI2(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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