control_Gibbs: Control parameters for the Gibbs sampling algorithm
In blindedmanuscript/LSBP: Dependent Logit Stick-Breaking Process
Description
Usage
Arguments
Value
Description
Control parameters for the Gibbs sampling algorithm
Usage
1
control_Gibbs(R = 5000, burn_in = 1000, method_init = "cluster")
Arguments
R
An integer indicating the number of replications to be computed after the burn-in.
burn_in
An integer indicating the number of replication left out as burn-in period.
method_init
The initialization criterium. By default, method_init='cluster' preallocates covariates into groups using clara. Other available possibilities are: method_init='random' and method_init='deterministic'.
Value
The function returns a list having the same entries provided as argument. Missing arguments are filled with default values.
blindedmanuscript/LSBP documentation built on May 13, 2019, 8:23 a.m.
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Description Usage Arguments Value
Description
Control parameters for the Gibbs sampling algorithm
Usage
1 | control_Gibbs(R = 5000, burn_in = 1000, method_init = "cluster")
|
Arguments
R |
An integer indicating the number of replications to be computed after the burn-in. |
burn_in |
An integer indicating the number of replication left out as burn-in period. |
method_init |
The initialization criterium. By default, |
Value
The function returns a list having the same entries provided as argument. Missing arguments are filled with default values.
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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