squeeze.twDEMCPops: squeeze twDEMCPops
In twDEMC: parallel DEMC

Description Usage Arguments Details Author(s) See Also Examples

Reduces the rows of populations so that all populations have the same number of samples.

1
2
3

## S3 method for class 'twDEMCPops'
squeeze(x, ..., length.out = min(getNSamples(x)), 
    dropShortPops = FALSE)

`x`	the twDEMCPops list to thin
`...`
`length.out`	number vector (nPops) of steps in each population, or numeric scalar specifying the lenght for all populations
`dropShortPops`	if set to TRUE, pops with less samples than length.out[1] are dropped

components thin,Y,nGenBurnin are kept, but may be meaningless after subsetting.

Thomas Wutzler

subset.twDEMCPops

if( FALSE){
	tmp <- squeeze(res)
	getNSamples(tmp)
	tmp2 <- subPops(res,2)
	#mtrace(squeeze.twDEMCPops)
	getNSamples( squeeze(tmp2,length.out=10) )
	getNSamples( squeeze(tmp,length.out=10) )	# should produce error
	getNSamples( squeeze(tmp,length.out=10, dropShortPops=TRUE) )	# should produce error
}