calculate_log_lik: calculate log-likelihood by integrating over the posterior...
In EandrewJones/mmBPFA: Multi-Modal Beta-Process Factor Analysis
Description
Usage
Arguments
Value
View source: R/calculate_loglik.R
Description
calculate log-likelihood by integrating over the posterior distribution
Usage
1
calculate_log_lik(k_lambda, k_omega, alpha, dat)
Arguments
k_lambda
stored lambda matrix from mcmc iteration.
k_omega
stored omega matrix from mcmc iteration.
alpha
stored alpha vector from mcmc iteration.
dat
data matrix.
Value
log-likelihood
EandrewJones/mmBPFA documentation built on Feb. 14, 2021, 11:17 p.m.
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Description Usage Arguments Value
View source: R/calculate_loglik.R
Description
calculate log-likelihood by integrating over the posterior distribution
Usage
1 | calculate_log_lik(k_lambda, k_omega, alpha, dat)
|
Arguments
k_lambda |
stored lambda matrix from mcmc iteration. |
k_omega |
stored omega matrix from mcmc iteration. |
alpha |
stored alpha vector from mcmc iteration. |
dat |
data matrix. |
Value
log-likelihood
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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