kstar_MCMCdiag: Perform MCMC diagnostics for kstar
In NPBayesImputeCat: Non-Parametric Bayesian Multiple Imputation for Categorical Data
View source: R/NewUpdates_v2.R
kstar_MCMCdiag R Documentation
Perform MCMC diagnostics for kstar
Description
A helper function to perform MCMC diagnostics for kstar
Usage
kstar_MCMCdiag(kstar, nrun, burn, thin)
Arguments
kstar
the vector output of kstar from running the DPMPM model
nrun
number of MCMC iterations used in running the DPMPM model
burn
number of burn-in iterations used in running the DPMPM model
thin
number of thinning used in running the DPMPM model
Value
Traceplot
the traceplot of kstar post burn-in and thinning
Autocorrplot
the autocorrelation plot of kstar post burn-in and thinning
NPBayesImputeCat documentation built on Oct. 3, 2022, 5:05 p.m.
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View source: R/NewUpdates_v2.R
| kstar_MCMCdiag | R Documentation |
Perform MCMC diagnostics for kstar
Description
A helper function to perform MCMC diagnostics for kstar
Usage
kstar_MCMCdiag(kstar, nrun, burn, thin)
Arguments
kstar |
the vector output of kstar from running the DPMPM model |
nrun |
number of MCMC iterations used in running the DPMPM model |
burn |
number of burn-in iterations used in running the DPMPM model |
thin |
number of thinning used in running the DPMPM model |
Value
Traceplot |
the traceplot of kstar post burn-in and thinning |
Autocorrplot |
the autocorrelation plot of kstar post burn-in and thinning |
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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