updateZstar: Function to generate new latent values for missingness model
In BAREB: A Bayesian Repulsive Biclustering Model for Periodontal Data
updateZstar R Documentation
Function to generate new latent values for missingness model
Description
This function takes current parameters, gives updated c in missingess model. Note a double type of value is returned
Usage
updateZstar(mu_star, delta, n, T0)
Arguments
mu_star
current matrix of latent value for missingness model
delta
the missing indicator matrix, with 1 means missing
n
number of patients
T0
number of teeth
Value
updateZstar(mu_star, delta, n, T0) returns a matrix of new generated latent values.
Author(s)
Yuliang Li
See Also
update_RJ for a complete example for all functions in this package.
BAREB documentation built on April 12, 2025, 1:53 a.m.
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| updateZstar | R Documentation |
Function to generate new latent values for missingness model
Description
This function takes current parameters, gives updated c in missingess model. Note a double type of value is returned
Usage
updateZstar(mu_star, delta, n, T0)
Arguments
mu_star |
current matrix of latent value for missingness model |
delta |
the missing indicator matrix, with 1 means missing |
n |
number of patients |
T0 |
number of teeth |
Value
updateZstar(mu_star, delta, n, T0) returns a matrix of new generated latent values.
Author(s)
Yuliang Li
See Also
update_RJ for a complete example for all functions in this package.
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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