laakso: Normalized Laakso and Taagepera heterogeneity index
In CUB: A Class of Mixture Models for Ordinal Data
laakso R Documentation
Normalized Laakso and Taagepera heterogeneity index
Description
Compute the normalized Laakso and Taagepera heterogeneity index for a given
discrete probability distribution.
Usage
laakso(prob)
Arguments
prob
Vector of a probability or relative frequency distribution
References
Laakso, M. and Taagepera, R. (1989). Effective number of parties: a measure with application to West Europe,
Comparative Political Studies, 12, 3–27.
See Also
gini
Examples
prob<-c(0.04,0.04,0.05,0.10,0.21,0.32,0.24)
laakso(prob)
CUB documentation built on May 29, 2024, 5:23 a.m.
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| laakso | R Documentation |
Normalized Laakso and Taagepera heterogeneity index
Description
Compute the normalized Laakso and Taagepera heterogeneity index for a given discrete probability distribution.
Usage
laakso(prob)
Arguments
prob |
Vector of a probability or relative frequency distribution |
References
Laakso, M. and Taagepera, R. (1989). Effective number of parties: a measure with application to West Europe, Comparative Political Studies, 12, 3–27.
See Also
gini
Examples
prob<-c(0.04,0.04,0.05,0.10,0.21,0.32,0.24)
laakso(prob)
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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