Description Usage Arguments Details Value See Also
View source: R/posterior.predictive.pb.r
Wrappers for posterior.predictive3D
in the
PB and NL models.
1 2 3 4 5 6 7 8 9  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
.
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