Man pages for Reckziegel/CMA
Copula Marginal Algorithm (CMA)

check_inputInternal Functions to check the consistency of input...
check_pInternal functions to check the consistency of probabilities.
CMACMA: Copula-Marginal Algorithm
cma_combinationCMA combination Step
cma-copulaInternal vctrs methods
cma-marginalInternal vctrs methods
cma-panicInternal vctrs methods
cma_separationCMA Separation Step
copula_transformationCopula Normalization
empirical_statsSummary Statistics for Empirical Distributions
fit_copulaArchimedean Copulas for Scenario Analysis
fit_ghdEstimation of the Generalized Hyperbolic Distribution
fit_hypEstimation of the Hyperbolic Distribution
fit_nigEstimation of the Normal-Inverse Gaussian Distribution
fit_normalEstimation of the Normal Distribution
fit_tEstimation of the Student-t Distribution
fit_vgEstimation of the Variance-Gamma Distribution
generate_copulasGenerate Copulas
generate_marginsGenerate Marginal Distributions
match_normalMoment Matching for the Normal Distribution
match_tMoment Matching for the t Distribution
new_cma_fitInternal function to create a prayer fit class.
new_cma_separationObject created to make printing prettier.
panic_copulaPanic-Copula for Stress-Testing
plot_panic_distributionVisualize a Panic Distribution
reexportsObjects exported from other packages
tidyevalTidy eval helpers
Reckziegel/CMA documentation built on July 13, 2022, 10:31 p.m.