convergence_diagnostics: Computes convergence diagnostics
In mailund/coalhmm-analysis: Code for analysing the results of CoalHMM runs
Description
Computes convergence diagnistics based on the convergence_t_tests diagnostics and finds the
most likely convergence point using convergence_probabilities.
Usage
1
2
convergence_diagnostics(samples, window_size = nrow(samples)/20, a = 1,
b = 1)
Arguments
samples
Samples from a CoalHMM MCMC run.
window_size
Window size used for the convergence diagnostics.
a
Meta-parameter for the prior probability of rejection before convergence.
b
Meta-parameter for the prior probability of rejection before convergence.
mailund/coalhmm-analysis documentation built on May 21, 2019, 11:06 a.m.
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Description
Computes convergence diagnistics based on the convergence_t_tests diagnostics and finds the
most likely convergence point using convergence_probabilities.
Usage
1 2 | convergence_diagnostics(samples, window_size = nrow(samples)/20, a = 1,
b = 1)
|
Arguments
samples |
Samples from a CoalHMM MCMC run. |
window_size |
Window size used for the convergence diagnostics. |
a |
Meta-parameter for the prior probability of rejection before convergence. |
b |
Meta-parameter for the prior probability of rejection before convergence. |
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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