compLikICL: compute the Integrated likeilhood and the ICL criteria for...
In Demiperimetre/GREMLIN: Generalized Multipartite Networks
compLikICL R Documentation
compute the Integrated likeilhood and the ICL criteria for the MBM
Description
compute the Integrated likeilhood and the ICL criteria for the MBM
Usage
compLikICL(paramEstim, list_Net, v_distrib = NULL)
Arguments
paramEstim
Estimated parameters of MBM
list_Net
A list of network
v_distrib
Type of proababilistic distributions in each network : if 0/1 then Bernoulli, if counting then Poisson. My default = Bernoulli.
Must give a vector whose length is the number of networks in list_Net
Value
Pseudo-Likelihood and penalty
Demiperimetre/GREMLIN documentation built on March 14, 2023, 12:55 p.m.
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| compLikICL | R Documentation |
compute the Integrated likeilhood and the ICL criteria for the MBM
Description
compute the Integrated likeilhood and the ICL criteria for the MBM
Usage
compLikICL(paramEstim, list_Net, v_distrib = NULL)
Arguments
paramEstim |
Estimated parameters of MBM |
list_Net |
A list of network |
v_distrib |
Type of proababilistic distributions in each network : if 0/1 then Bernoulli, if counting then Poisson. My default = Bernoulli. Must give a vector whose length is the number of networks in list_Net |
Value
Pseudo-Likelihood and penalty
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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