MCpriorIntFun.nl {BMAmevt} | R Documentation |
Wrappers for MCpriorIntFun
with argument
prior=prior.pb
or prior=prior.nl
MCpriorIntFun.nl(Nsim = 200, FUN = function(par, ...) { par }, store = TRUE, Hpar = get("nl.Hpar"), show.progress = floor(seq(1, Nsim, length.out = 20)), Nsim.min = Nsim, precision = 0, ...) MCpriorIntFun.pb(Nsim = 200, Hpar = get("pb.Hpar"), dimData = 3, FUN = function(par, ...) { as.vector(par) }, store = TRUE, show.progress = floor(seq(1, Nsim, length.out = 20)), Nsim.min = Nsim, precision = 0, ...)
Nsim |
Maximum number of iterations |
FUN |
A function to be integrated. It may return a vector or an array. |
store |
Should the successive evaluations of |
Hpar |
Hyper-parameters for the PB prior (in |
show.progress |
same as in |
Nsim.min |
The minimum number of iterations to be performed. |
precision |
The desired relative precision ε. See Details below. |
... |
Additional arguments to be passed to |
dimData |
Only for the PB model: The dimension of model's sample space. The PB parameter space is of dimension |
The list returned by function
MCpriorIntFun
.