gd_summary.emc | R Documentation |
Returns the Gelman-Rubin diagnostics (otherwise known as the R-hat) of the selected parameter type; i.e. the ratio of between to within MCMC chain variance.
## S3 method for class 'emc'
gd_summary(
emc,
selection = "mu",
omit_mpsrf = TRUE,
stat = "max",
stat_only = FALSE,
digits = 3,
...
)
gd_summary(emc, ...)
emc |
An emc object |
selection |
A Character vector. Indicates which parameter types to check (e.g., |
omit_mpsrf |
Boolean. If |
stat |
A string. Should correspond to a function that can be applied to a vector, which will be performed on the vector/rows or columns of the matrix of the parameters |
stat_only |
Boolean. If |
digits |
Integer. How many digits to round the output to |
... |
Optional additional arguments that can be passed to |
See: Gelman, A and Rubin, DB (1992) Inference from iterative simulation using multiple sequences, Statistical Science, 7, 457-511.
Full range of possible samples manipulations described in get_pars
.
A matrix or vector of R-hat values for the selected parameter type.
gd_summary(samples_LNR, selection = "correlation", stat = "mean", flatten = TRUE)
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