marginal.lkl.nl {BMAmevt} | R Documentation |
Wrappers for marginal.lkl
, in the specific cases of the PB and NL models,
with parameter likelihood
set to dpairbeta
or
dnestlog
, and prior
set to prior.pb
or
prior.nl
. See MCpriorIntFun
for more details.
marginal.lkl.nl(dat, Nsim = 10000, displ = TRUE, Hpar = get("nl.Hpar"), Nsim.min = Nsim, precision = 0, show.progress = floor(seq(1, Nsim, length.out = 20))) marginal.lkl.pb(dat, Nsim = 10000, displ = TRUE, Hpar = get("pb.Hpar"), Nsim.min = Nsim, precision = 0, show.progress = floor(seq(1, Nsim, length.out = 20)))
dat |
The angular data set relative to which the marginal model likelihood is to be computed |
Nsim |
Total number of iterations to perform. |
displ |
logical. If |
Hpar |
A list containing Hyper-parameters to be passed to
|
Nsim.min |
The minimum number of iterations to be performed. |
precision |
the desired relative precision. See
|
show.progress |
An vector of integers containing the times (iteration numbers) at which a message showing progression will be printed on the standard output. |
The list returned by
marginal.lkl
, i.e., the one returned by MCpriorIntFun
## Not run: marginal.lkl.pb(dat=Leeds , Nsim=20e+3 , displ=TRUE, Hpar = get("pb.Hpar") , ) marginal.lkl.nl(dat=Leeds , Nsim=10e+3 , displ=TRUE, Hpar = get("nl.Hpar") , ) ## End(Not run)