posterior.predictive.nl {BMAmevt} | R Documentation |
Wrappers for posterior.predictive3D
in the PB and NL models.
posterior.predictive.nl(
post.sample,
from = post.sample$Nbin + 1,
to = post.sample$Nsim,
thin = 50,
npoints = 40,
eps = 0.001,
equi = T,
displ = T,
...
)
posterior.predictive.pb(
post.sample,
from = post.sample$Nbin + 1,
to = post.sample$Nsim,
thin = 50,
npoints = 40,
eps = 10^(-3),
equi = T,
displ = T,
...
)
post.sample |
A posterior sample as returned by |
from |
Integer or |
to |
Integer or |
thin |
Thinning interval. |
npoints |
The number of grid nodes on the squared grid containing the desired triangle. |
eps |
Positive number: minimum distance from any node inside the simplex to the simplex boundary |
equi |
logical. Is the simplex represented as an equilateral triangle (if |
displ |
logical. Should a plot be produced ? |
... |
Additional graphical parameters and arguments to be passed
to |
The posterior predictive density is approximated by averaging the densities corresponding to the parameters stored in post.sample
. See
posterior.predictive3D
for details.
A npoints*npoints
matrix: the posterior predictive density.
posterior.predictive3D
, posteriorMCMC.pb
.