update_tc: Internal function to calculate marginal probility of latent...
In jpkrooney/rcorex: An Implementation of Total Correlation Explanation
update_tc R Documentation
Internal function to calculate marginal probility of latent variables
Description
Internal function to calculate marginal probility of latent variables
Usage
update_tc(log_z, tcs, tc_history)
Arguments
log_z
A 2D matrix containing the pointwise estimate of total correlation explained by each latent variable for each sample.
tcs
The total correlation explained by each latent variable in unit of nats (natural unit of information)
tc_history
A log of the estimated total correlation with each iteration of the algorithm.
Value
log_p_y. The log of the marginal probability of the latent variables.
jpkrooney/rcorex documentation built on July 25, 2022, 1:37 a.m.
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| update_tc | R Documentation |
Internal function to calculate marginal probility of latent variables
Description
Internal function to calculate marginal probility of latent variables
Usage
update_tc(log_z, tcs, tc_history)
Arguments
log_z |
A 2D matrix containing the pointwise estimate of total correlation explained by each latent variable for each sample. |
tcs |
The total correlation explained by each latent variable in unit of nats (natural unit of information) |
tc_history |
A log of the estimated total correlation with each iteration of the algorithm. |
Value
log_p_y. The log of the marginal probability of the latent variables.
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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