summary.dpGLM: Summary for dpGLM class
In DiogoFerrari/hdpGLM: Hierarchical Dirichlet Process Generalized Linear Models
summary.dpGLM R Documentation
Summary for dpGLM class
Description
This function provides a summary of the MCMC samples from the dpGLM model
Usage
## S3 method for class 'dpGLM'
summary(object, ...)
Arguments
object
a dpGLM object returned by the function hdpGLM
...
The additional parameters accepted are:
true.beta: (see plot.dpGLM)
Details
Data points are assigned to clusters according to the highest estimated probability of belonging to that cluster
DiogoFerrari/hdpGLM documentation built on June 13, 2025, 3:28 a.m.
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| summary.dpGLM | R Documentation |
Summary for dpGLM class
Description
This function provides a summary of the MCMC samples from the dpGLM model
Usage
## S3 method for class 'dpGLM'
summary(object, ...)
Arguments
object |
a |
... |
The additional parameters accepted are: true.beta: (see plot.dpGLM) |
Details
Data points are assigned to clusters according to the highest estimated probability of belonging to that cluster
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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