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

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Documentation for package ‘gofLorenz’ version 0.1.0

• DESCRIPTION file
• User guides, package vignettes and other documentation

Help Pages

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