# Statistical Methodology for Graphical Extreme Value Models

## Documentation for package ‘graphicalExtremes’ version 0.2.0

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

## Help Pages

check_Gamma_and_graph | Check input graph and Gamma matrix
check_graph | Check input graph
chi2Gamma | Transformation of extremal correlation chi to the Huesler-Reiss variogram Gamma
complete_Gamma | Completion of Gamma matrices
complete_Gamma_decomposable | Completion of decomposable Gamma matrices
complete_Gamma_general | Non-decomposable completion of variogram matrices
complete_Gamma_general_demo | DEMO-VERSION: Completion of non-decomposable Gamma matrices
complete_Gamma_general_split | Non-decomposable completion of variogram matrices
danube | Upper Danube basin dataset
data2mpareto | Data standardization to multivariate Pareto scale
eglearn | Learning extremal graph structure
emp_chi | Empirical estimation of extremal correlation matrix chi
emp_chi_multdim | Empirical estimation of extremal correlation chi
emp_chi_pairwise | Empirical estimation of extremal correlation matrix chi
emp_vario | Estimation of the variogram matrix Gamma of a Huesler-Reiss distribution
emp_vario_pairwise | Estimation of the variogram matrix Gamma of a Huesler-Reiss distribution
emst | Fitting extremal minimum spanning tree
emtp2 | Performs Gaussian likelihood optimization under Laplacian matrix constraints.
fast_diag | Fast computation of diag(y %_% M %_% t(y))
fillFixedParams | Helper function to combine par with fixed params (in init)
fitInInterval | Fit value(s) in interval
flightCountMatrixToConnectionList | Convert flight counts to connection list
flights | Flights delay data
fmpareto_graph_HR | Parameter fitting for Huesler-Reiss graphical models
Gamma2chi | Transformation of the Huesler-Reiss variogram Gamma to extremal correlation chi
Gamma2graph | Transformation of matrix to graph object
Gamma2Sigma | Transformation of Gamma matrix to Sigma or Sigma^k matrix
Gamma2Theta | Transformation of Gamma matrix to Theta matrix
generate_random_cactus | Generate a random cactus graph
generate_random_chordal_graph | Generate a random chordal graph
generate_random_connected_graph | Generate a random connected graph
generate_random_Gamma | Generate a random Gamma matrix
generate_random_graphical_Gamma | Generate a random Gamma matrix for a given graph
generate_random_integer_Gamma | Generate a random Gamma matrix containing only integers
generate_random_model | Generate random Huesler-Reiss Models
generate_random_spd_matrix | Generate a random symmetric positive definite matrix
generate_random_tree | Generate a random tree
get_large_tol | Tolerances to be used in computations
get_mc_cores | Number of cores to be used in parallel computations
get_small_tol | Tolerances to be used in computations
graphs_equal | Graph equality
loglik_HR | Compute Huesler-Reiss log-likelihood, AIC, and BIC
partialMatrixToGraph | Transformation of a partial matrix to a graph
plotFlights | Plot flight data
rmpareto | Sampling of a multivariate Pareto distribution
rmpareto_tree | Sampling of a multivariate Pareto distribution on a tree
rmstable | Sampling of a multivariate max-stable distribution
rmstable_tree | Sampling of a multivariate max-stable distribution on a tree
Sigma2Gamma | Transformation of Sigma and Sigma^k matrix to Gamma matrix
Theta2Gamma | Transformation of Gamma matrix to Theta matrix
Theta2graph | Transformation of matrix to graph object
Zmatrix | Computes the Z-matrix