fitmarg {INLABMA} | R Documentation |
Fit posterior marginal distributions to points
Description
Compute (and re-scale, if necessary) the marginal from a set of
points x
and values of log-likelihood logy
and
log-prior density logp
.
Usage
fitmarg(x, logy, logp = 0, usenormal = FALSE)
Arguments
x |
Values of the random variable. |
logy |
Log-likelihood. |
logp |
Log-prior density. |
usenormal |
Whether use a Normal distribution for the fitted marginal. |
Details
Fits a marginal at a set of points x
from their log-likelihood
and log-prior. The fitted marginal is re-scaled to integrate one if
necessary. If usenormal=TRUE
then the fitted marginal is supposed
to be Normal, which is computed using the posterior mean and standard
deviation of x
.
Value
A function with the fitted marginal is returned.
Author(s)
Virgilio Gómez-Rubio <virgilio.gomez@uclm.es>
See Also
fitmargBMA
, fitmargBMA2
,mysplinefun
[Package INLABMA version 0.1-12 Index]