Description Usage Arguments Value Author(s) Examples
Provides MC Maximum Likelihood Estimation of Potentials for a given image.
1 2 | GibbsMCMLE(X, gModelX, type = "symetric", gModelRef = "MPLE",
nsamples = 1000, showProgress = TRUE, macrosteps = 70, ...)
|
X |
the random field (matrix object). |
gModelX |
a GibbsModel for X (V and vMat can be NULL). |
type |
Type of function for Potentials. See GibbsMPLE() for reference. |
gModelRef |
the reference model to simulate from for Monte-Carlo Likelihood function approximation. Either a GibbsModel object or a character with "MPLE" for MPL estimated model. |
nsamples |
an integer indicating the number of Monte-Carlo samples. |
showProgress |
indicates whether the current step being done should be printed or not. |
... |
additional parameters to be used in the optimization function (optim()). |
a GibbsModel object with the estimated potentials.
Victor Freguglia Souza
1 | GibbsMCMLE(example.X,example.GibbsModel,"symetric","MPLE")
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