marginal_likelihood_is: Marginal likelihood with Importance Sampling
In alumbreras/MMLE-GaP:
Usage
1
marginal_likelihood_is(V, W, alpha = 1, beta = 1, nsamples = 100)
Arguments
V
data matrix
W
dictionary matrix
alpha
parameter for the Negative Multinomial
beta
parameter for the Negative Multinomial
nsamples
number of samples from the Importance distribution
alumbreras/MMLE-GaP documentation built on May 18, 2019, 2:37 a.m.
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Usage
1 | marginal_likelihood_is(V, W, alpha = 1, beta = 1, nsamples = 100)
|
Arguments
V |
data matrix |
W |
dictionary matrix |
alpha |
parameter for the Negative Multinomial |
beta |
parameter for the Negative Multinomial |
nsamples |
number of samples from the Importance distribution |
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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