sumcll: Calculate the complete data log-likelihood across all...
In RGLab/MIMOSA2: MIMOSA with baseline
sumcll R Documentation
Calculate the complete data log-likelihood across all observations.
Description
Calculate the complete data log-likelihood across all observations.
Usage
sumcll(..., z, pi_est)
Arguments
...
all model parameters and data (par, Ntot, ns0,ns1,nu0,nu1)
z
matrix of type numeric represents the posterior probabilities of the class assignments of each observation to each component. Rows sum to 1.
pi_est
numeric the mixing proportions.
See Also
bbll MIMOSA2
RGLab/MIMOSA2 documentation built on Aug. 15, 2024, 8:10 a.m.
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| sumcll | R Documentation |
Calculate the complete data log-likelihood across all observations.
Description
Calculate the complete data log-likelihood across all observations.
Usage
sumcll(..., z, pi_est)
Arguments
... |
all model parameters and data (par, Ntot, ns0,ns1,nu0,nu1) |
z |
|
pi_est |
|
See Also
bbll MIMOSA2
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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