samplesCorrel | R Documentation |
This function calculates the correlation matrix between two vectors of variables.
samplesCorrel(node0, node1, beg = samplesGetBeg(),
end = samplesGetEnd(), firstChain = samplesGetFirstChain(),
lastChain = samplesGetLastChain(), thin = samplesGetThin())
node0 , node1 |
Character vectors of length 1, name of variables in the model. |
beg , end |
Arguments to select a slice of monitored values corresponding to iterations |
firstChain , lastChain |
Arguments to select a sub group of chains to calculate correlation(s) for. |
thin |
to only use every |
If the variable of interest is an array, slices of the array can be selected using the notation
variable[lower0:upper0, lower1:upper1, ...]
.
If the arguments are left at their defaults the whole sample for all chains will be used for calculation.
Correlation matrix.
If the MCMC simulation has an adaptive phase it will not be possible to make inference using values sampled before the end of this phase.
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