Laplacian               The Laplacian of a graph
Lprec                   Precision matrix parametrization helper
                        functions.
cgeneric_LKJ            Build an 'inla.cgeneric' object to implement
                        the LKG prior for the correlation matrix.
cgeneric_Wishart        Build an 'inla.cgeneric' to implement the
                        Wishart prior for a precision matrix.
cgeneric_generic0       Build an 'inla.cgeneric' to implement a model
                        whose precision has a conditional precision
                        parameter. See details. This uses the cgeneric
                        interface that can be used as a model in a
                        'INLA' 'f()' model component.
cgeneric_graphpcor      Build an 'inla.cgeneric' for a graph, see
                        'graphpcor()'
cgeneric_pc_correl      Build an 'inla.cgeneric' to implement the PC
                        prior, proposed on Simpson et. al. (2007), for
                        the correlation matrix parametrized from the
                        hypershere decomposition, see details.
cgeneric_pc_prec_correl
                        Build an 'inla.cgeneric' to implement the
                        PC-prior of a precision matrix as inverse of a
                        correlation matrix.
cgeneric_treepcor       Build an 'cgeneric' for 'treepcor()')
dLKJ                    The LKJ density for a correlation matrix
graphpcor               The 'graphpcor' generic method for graphpcor
graphpcor-class         Set a graph whose nodes and edges represent
                        variables and conditional distributions,
                        respectively.
hessian.graphpcor       Evaluate the hessian of the KLD for a
                        'graphpcor' correlation model around a base
                        model.
inla.cgeneric-class     'inla.cgeneric' class, short 'cgeneric', to
                        define a 'INLA::cgeneric()' latent model
inla.rgeneric-class     'inla.rgeneric' class, short 'rgeneric', to
                        define a 'INLA::rgeneric()' latent model
is.zero                 Define the is.zero method
prec                    The 'prec' method
rphi2x                  Functions for the mapping between spherical and
                        Euclidean coordinates.
theta2correl            Build the correlation matrix parametrized from
                        the hypershere decomposition, see details.
treepcor                Define a tree used to model correlation
                        matrices using a shared latent variables method
                        represented by a tree, whose nodes represent
                        the two kind of variables: children and parent.
                        See treepcor.
treepcor-class          Set a tree whose nodes represent the two kind
                        of variables: children and parent.
