The MCMC scheme uses a transition kernel. This function returns the
parameters of that transition kernel. Better parameters make the
Markov chain perform better (i.e. lower auto-correlation).
Usage
getMCMCPar(prePar, preDelta, p = 0.05, sfactor = 0.1, delta = 0.01, num = 1)
Arguments
- prePar
a sample of parameters from pre-Calibration
- preDelta
distance values (scores) for those parameters
- p
fraction (top scoring) of sampled points to base Sigma on
- sfactor
scales Sigma up or down
- delta
ABC threshold
- num
number of different starting parameter vectors.
Value
Sigma and startPar (matrix with num rows) as a list