R: Goodness-of-Fit Tests and Diagrams Based on Mellin Log-Cumulants

# Goodness-of-Fit Tests and Diagrams Based on Mellin Log-Cumulants

## Documentation for package ‘logcumulant’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

ad_cvm_test | Anderson-Darling and Cramer-von Mises tests
aic_value | Akaike information criterion for a fitted family
cv_diagram | Coefficient-of-variation diagram
distribution_dispatchers | Distribution dispatchers for the six reliability families
fisher_closed | Closed-form Fisher information matrix
gof_analyze | Full goodness-of-fit analysis for one distribution
gof_compare_all | Compare all candidate distributions
jacobian_J | Analytic Jacobian of log-cumulants with respect to parameters
kurtosis_diagram | Kurtosis-skewness diagram
ldist | Distribution dispatchers for the six reliability families
log_cumulant_diagram | Log-cumulant diagram
mle_fit | Maximum-likelihood fit of a reliability distribution
multi_lc_diagram | Multi-dataset log-cumulant diagram
pdist | Distribution dispatchers for the six reliability families
plot_lc | Quick log-cumulant plot
power_study | Empirical power study
rdist | Distribution dispatchers for the six reliability families
reliability_datasets | Nine reliability datasets used in the applications
size_study | Empirical size (Type I error) study
T2_all | All three nested T^2 statistics
T2_bootstrap | Parametric bootstrap p-values for the T^2 statistics
T2_one | Hotelling-type T^2 statistic for one cumulant set
theoretical_lc | Theoretical log-cumulants
three_diagrams | Combined three-panel diagnostic figure