LogLikelihoodExact: Calculate the log likelihood
In UofTActuarial/LRMoE: Logit-Weighted Reduced Mixture-of-Experts
Description
Calculate the log likelihood based on the observations, gate matrix, model matrix and exposure matrix.
Usage
1
LogLikelihoodExact(Y, gate, model, exposure)
Arguments
Y
(matrix)
The numerical observation matrix with IxJ dimentions
gate
(matrix)
The numerical gate matrix with IxD dimentions
model
(ExpertMatrix)
The JxD ExpertMatrix S6 Class which contained ExpertFunctions
exposure
(matrix)
The Ix1 numerical vector which specify the exposure for each observation.
UofTActuarial/LRMoE documentation built on Feb. 18, 2022, 1:36 a.m.
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Description
Calculate the log likelihood based on the observations, gate matrix, model matrix and exposure matrix.
Usage
1 | LogLikelihoodExact(Y, gate, model, exposure)
|
Arguments
Y |
( |
gate |
( |
model |
( |
exposure |
( |
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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