DIC: DIC calculation for the output of 'SIMP()'
In yanbowisc/SIMP: Bayesian Simultaneous Partial Envelope Model

DIC	R Documentation

DIC calculation for the output of `SIMP()`

DIC calculation for the output of SIMP()

DIC(SIMP.fit, Y, X1C, X1D, X2, dx, dy, combined = T, Chain.no = 1)

`SIMP.fit`	The output of `SIMP()`.
`Y`	Response matrix. Must have the same number of rows as `X`.
`X1C`	Design matrix of the continuous part of the predictors of interest. Must have the same number of rows as `Y`.
`X1D`	Design matrix of the discrete part of the predictors of interest. Must have the same number of rows as `Y`.
`X2`	Design matrix of the nuisance predictors. Must have the same number of rows as `Y`.
`dx`	Partial predictor envelope dimension. Must be an integer between 0 and `ncol(X1C)`.
`dy`	Partial response envelope dimension. Must be an integer between 0 and `ncol(Y)`.
`combined`	Logical. Indicate whether posterior samples (after burn-in) from all chains should be combined to calculate DIC. If there is only one chain, then there is no difference by indicating this parameter to be TRUE or FALSE.
`Chain.no`	If combined = FALSE, we need to indicate which chain should be used for the calculation of DIC. Chain.no must be an integer between 1 and the number of chains.