Package: gofLorenz 0.1.0

gofLorenz: Goodness-of-Fit Tests for Location-Scale Distributions via Lorenz Curve

Implements goodness-of-fit test statistics and graphical methods for symmetric and asymmetric location-scale distributions under progressive Type-II censoring using the modified Lorenz curve and ratio modified sample Lorenz curve, as proposed by Lee (2024) <doi:10.3390/sym16020202>. Also provides order statistics distance test statistics based on Pakyari and Balakrishnan (2013) <doi:10.1080/00949655.2011.625424>. Supports calculation of test statistics, Monte Carlo p-values, critical values, and L-plot visual diagnostics for complete and progressively Type-II censored data.

Authors:Shikhar Tyagi [aut, cre], Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]

gofLorenz_0.1.0.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
gofLorenz/json (API)

# Install 'gofLorenz' in R:

install.packages('gofLorenz', repos = c('https://shikhartyagi.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

breaking_strength - Breaking Strength Data under Progressive Type-II Censoring
insulating_fluid - Log-Transformed Insulating Fluid Data under Progressive Type-II Censoring

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 189 downloads 11 exports 0 dependencies

Last updated from:c0dd001a78. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	111
source / vignettes	OK	141
linux-release	OK	95
macos-release	OK	92
macos-oldrel	OK	105
windows-devel	OK	79
windows-release	OK	64
windows-oldrel	OK	60
wasm-release	OK	82

Exports:calc_lorenz_stats calc_p calc_pakyari_stats fit_progressive_mle get_quantile_vals gof_lorenz lorenz_plot mLC_sample mLC_theory rLC_calc rprcs

Dependencies:

Goodness-of-Fit Testing for Location-Scale Distributions via Lorenz Curve

Rendered fromgofLorenz_vignette.Rmdusingknitr::rmarkdown

Last update: 2026-08-09
Started: 2026-08-09

Help page	Topics
Breaking Strength Data under Progressive Type-II Censoring	breaking_strength
Compute Lorenz Curve Test Statistics (Lee 2024)	calc_lorenz_stats
Calculate Expected Uniform Order Statistics under Progressive Censoring	calc_p
Compute Pakyari and Balakrishnan (2013) Test Statistics	calc_pakyari_stats
Fit Location and Scale Parameters under Progressive Censoring via MLE	fit_progressive_mle
Theoretical Quantiles for Location-Scale Distributions	get_quantile_vals
Goodness-of-Fit Tests for Location-Scale Distributions Based on Lorenz Curve	gof_lorenz
Log-Transformed Insulating Fluid Data under Progressive Type-II Censoring	insulating_fluid
Plot Method for Lorenz Curve Goodness-of-Fit Diagnostics (L-plot)	lorenz_plot
Modified Sample Lorenz Curve	mLC_sample
Theoretical Modified Lorenz Curve	mLC_theory
Plot Method for gof_lorenz Objects	plot.gof_lorenz
Print Method for Lorenz Goodness-of-Fit Test Results	print.gof_lorenz
Ratio Modified Lorenz Curve	rLC_calc
Generate Random Progressive Type-II Censored Samples	rprcs
Summary Method for Lorenz Goodness-of-Fit Test Results	summary.gof_lorenz

Package: gofLorenz 0.1.0

gofLorenz: Goodness-of-Fit Tests for Location-Scale Distributions via Lorenz Curve

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)