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

AIC	R Documentation

AIC calculation for the output of `SIMP()`

AIC calculation for the output of SIMP()

AIC(SIMP.fit, r, pc, pd, p2, dx, dy, combined = T, Chain.no = 1)

`SIMP.fit`	The output of `SIMP()`.
`r`	Dimension of response Y.
`pc`	Dimension of X1C, the continuous part of the predictors of interest.
`pd`	Dimension of X1D, the discrete part of the predictors of interest.
`p2`	Dimension of X2, predictors of not main interest.
`dx`	Partial predictor envelope dimension of SIMP.
`dy`	Partial response envelope dimension of SIMP.
`combined`	Logical. Indicate whether posterior samples (after burn-in) from all chains should be combined to calculate AIC. 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 AIC. Chain.no must be an integer between 1 and the number of chains.