updatemustar: Function to update mean latent values for missingness model
In BAREB: A Bayesian Repulsive Biclustering Model for Periodontal Data
Description
Usage
Arguments
Value
Author(s)
See Also
Description
This function takes current parameters, gives updated mean latent values for missingness model
Usage
1
updatemustar(mu, c, n, T0, D)
Arguments
mu
current estimated mean matrix for CAL
c
current c for missingness model
n
number of patients
T0
number of teeth
D
the D matrix in the paper
Value
updatemustar(mu, c, n, T0, D) returns the updated mean latent values for missingness model.
Author(s)
Yuliang Li
See Also
update_RJ for a complete example for all functions in this package.
BAREB documentation built on March 26, 2020, 7:36 p.m.
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Description Usage Arguments Value Author(s) See Also
Description
This function takes current parameters, gives updated mean latent values for missingness model
Usage
1 | updatemustar(mu, c, n, T0, D)
|
Arguments
mu |
current estimated mean matrix for CAL |
c |
current c for missingness model |
n |
number of patients |
T0 |
number of teeth |
D |
the D matrix in the paper |
Value
updatemustar(mu, c, n, T0, D) returns the updated mean latent values for missingness model.
Author(s)
Yuliang Li
See Also
update_RJ for a complete example for all functions in this package.
BAREB documentation built on March 26, 2020, 7:36 p.m.
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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