log_Vnk_PY: Calculate the Logarithm of the Vnk weights for the Pitman-Yor...
In BNPdensity: Ferguson-Klass Type Algorithm for Posterior Normalized Random Measures
View source: R/expected_number_of_clusters_stable_process.R
log_Vnk_PY R Documentation
Calculate the Logarithm of the Vnk weights for the Pitman-Yor model
Description
This function computes the logarithm of the Vnk weights for the Pitman-Yor model
for given values of 'n', 'k', 'Alpha', and 'Gama'.
Usage
log_Vnk_PY(n, k, Alpha, Gama)
Arguments
n
An integer representing the total number of observations.
k
An integer representing the number of clusters.
Alpha
A numeric value for the concentration parameter.
Gama
A numeric value for the discount parameter.
Value
A numeric value representing the logarithm of the NRMI for the specified parameters.
Examples
BNPdensity:::log_Vnk_PY(7, 6, 0.5, 0.01)
BNPdensity:::log_Vnk_PY(6, 5, 0.5, 0.001)
BNPdensity documentation built on Aug. 8, 2025, 7:20 p.m.
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View source: R/expected_number_of_clusters_stable_process.R
| log_Vnk_PY | R Documentation |
Calculate the Logarithm of the Vnk weights for the Pitman-Yor model
Description
This function computes the logarithm of the Vnk weights for the Pitman-Yor model for given values of 'n', 'k', 'Alpha', and 'Gama'.
Usage
log_Vnk_PY(n, k, Alpha, Gama)
Arguments
n |
An integer representing the total number of observations. |
k |
An integer representing the number of clusters. |
Alpha |
A numeric value for the concentration parameter. |
Gama |
A numeric value for the discount parameter. |
Value
A numeric value representing the logarithm of the NRMI for the specified parameters.
Examples
BNPdensity:::log_Vnk_PY(7, 6, 0.5, 0.01)
BNPdensity:::log_Vnk_PY(6, 5, 0.5, 0.001)
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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