ddirichletprocess: Create dirichletprocess (exponential) based density function.
In MIRES: Measurement Invariance Assessment Using Random Effects Models and Shrinkage
Description
Usage
Arguments
Value
Author(s)
Description
Create dirichletprocess (exponential) based density function.
Usage
1
ddirichletprocess(mcmc, iter = 500, mode = c("posterior", "est"), ...)
Arguments
mcmc
MCMC samples.
iter
MH Iterations to run.
mode
posterior or est.
...
Not used.
Value
Function returning a matrix (if posterior) or vector (if est).
Author(s)
Stephen R. Martin
MIRES documentation built on Feb. 22, 2021, 5:10 p.m.
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Description Usage Arguments Value Author(s)
Description
Create dirichletprocess (exponential) based density function.
Usage
1 | ddirichletprocess(mcmc, iter = 500, mode = c("posterior", "est"), ...)
|
Arguments
mcmc |
MCMC samples. |
iter |
MH Iterations to run. |
mode |
posterior or est. |
... |
Not used. |
Value
Function returning a matrix (if posterior) or vector (if est).
Author(s)
Stephen R. Martin
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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