In a gamma model, we can assume that the shapes are equal in each/all cluster(s) or not. We can also assume that the scales are equal in each/all cluster(s) or not.
Some configuration are impossibles. If the shapes are equal between all the clusters, then the scales cannot be equal between all the clusters. Conversely if the scales are equal between all the cluster, then the shapes cannot be equal between all the clusters.
This gives rise to 24 models:
In a gamma model, we can assume that the shapes are equal in each/all cluster(s) or not. We can also assume that the scales are equal in each/all cluster(s) or not.
Some configuration are impossibles. If the shapes are equal between all the clusters, then the scales cannot be equal between all the clusters. Conversely if the scales are equal between all the cluster, then the shapes cannot be equal between all the clusters.
This gives rise to 24 models:
gammaNames(prop = "all", shapeInCluster = "all",
shapeBetweenCluster = "free", scaleInCluster = "all",
scaleBetweenCluster = "all")gammaNames()
gammaNames("all", "equal", "free", "free", "equal") # same as c("gamma_p_ak_bj", "gamma_pk_ak_bj")Run the code above in your browser using DataLab