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

A family of three complementary goodness-of-fit tests based on an adaptation of Hotelling's T-squared statistic applied to vectors of sample log-cumulants (Mellin statistics) for positive-support reliability data. The package provides the asymptotic chi-squared reference and parametric bootstrap p-values for reliable finite-sample inference, covering the Weibull, Frechet, Gamma, Inverse-Gamma, Log-Normal, and Log-Logistic families. It also provides three diagnostic diagrams (log-cumulant, kurtosis-skewness, and coefficient-of-variation) with bootstrap concentration ellipses, in the spirit of moment-ratio diagrams. Methods are described in Santos, Ospina, Espinheira and Oliveira (2025).

Version: 0.1.0
Depends: R (≥ 4.0)
Imports: Rcpp, MASS, VGAM, actuar, numDeriv, goftest, ggplot2, gridExtra
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-06-12
DOI: 10.32614/CRAN.package.logcumulant (may not be active yet)
Author: Raydonal Ospina ORCID iD [aut, cre]
Maintainer: Raydonal Ospina <raydonal at de.ufpe.br>
BugReports: https://github.com/raydonal/logcumulant/issues
License: GPL-3
URL: https://github.com/raydonal/logcumulant, https://raydonal.github.io/logcumulant/
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: logcumulant results

Documentation:

Reference manual: logcumulant.html , logcumulant.pdf
Vignettes: The three diagnostic diagrams (source, R code)
Getting started with logcumulant (source, R code)
Goodness-of-fit tests and the bootstrap (source, R code)
Simulation studies (source, R code)

Downloads:

Package source: logcumulant_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: logcumulant_0.1.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): logcumulant_0.1.0.tgz, r-oldrel (arm64): logcumulant_0.1.0.tgz, r-release (x86_64): logcumulant_0.1.0.tgz, r-oldrel (x86_64): logcumulant_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.