# Markov Random Field Models for Image Analysis

## Documentation for package ‘mrf2d’ version 0.4.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

+-method | mrfi: MRF interaction structure
--method | mrfi: MRF interaction structure
as.list.mrfi | mrfi: MRF interaction structure
basis_functions | Creation of basis functions
bold5000 | BOLD5000 neuroimaging data
cohist | Summary Statistics
cplot | Plotting functions for lattice data
cpmrf2d | Conditional probabilities in a pixel position
cp_mrf2d | Conditional probabilities in a pixel position
data_examples | Example Data
dplot | Plotting functions for lattice data
expand_array | Summarized representation of theta arrays
field1 | Example Data
fit_ghm | EM estimation for Gaussian Hidden Markov field
fit_pl | Maximum Pseudo-likelihood fitting of MRFs on 2d lattices.
fit_sa | Stochastic Approximation fitting of MRFs on 2d lattices
fourier_2d | Creation of basis functions
hfield1 | Example Data
hmrfout | MRF fitting functions output
length-method | mrfi: MRF interaction structure
mrf2d-family | Parameter restriction families
mrfi | mrfi: MRF interaction structure
mrfi-class | mrfi: MRF interaction structure
mrfi-plot | Plotting of 'mrfi' objects.
mrfout | MRF fitting functions output
plot.hmrfout | MRF fitting functions output
plot.mrfi | Plotting of 'mrfi' objects.
plot.mrfout | MRF fitting functions output
pl_mrf2d | Pseudo-likelihood function for MRFs on 2d lattices
polynomial_2d | Creation of basis functions
print.hmrfout | MRF fitting functions output
print.mrfout | MRF fitting functions output
rmrf2d | Sampling of Markov Random Fields on 2d lattices
smr_array | Summarized representation of theta arrays
smr_stat | Summary Statistics
summary.hmrfout | MRF fitting functions output
summary.mrfout | MRF fitting functions output
theta_potts | Example objects from 'mrf2d'
Z_potts | Example objects from 'mrf2d'
[-method | mrfi: MRF interaction structure
[[-method | mrfi: MRF interaction structure