comp_categ_distn: Get mean distribution over data categories for each component
In nicolaroberts/hdp: Hierarchical Dirichlet Process for categorical count data
Description
Usage
Arguments
Value
Description
Get mean distribution over data categories for each component
Usage
1
Arguments
x
hdpSampleChain or hdpSampleMulti
Value
List with elements "mean" and "cred.int", containing
matrices with the mean (and lower/upper 95% credibility interval) distribution
over data categories for each component. Number of rows is the number of
components, and number of columns is the number of data categories. Rows sum to 1.
nicolaroberts/hdp documentation built on May 23, 2019, 5:09 p.m.
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Description Usage Arguments Value
Description
Get mean distribution over data categories for each component
Usage
1 |
Arguments
x |
hdpSampleChain or hdpSampleMulti |
Value
List with elements "mean" and "cred.int", containing matrices with the mean (and lower/upper 95% credibility interval) distribution over data categories for each component. Number of rows is the number of components, and number of columns is the number of data categories. Rows sum to 1.
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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