simplexgof: Bootstrap GoF Test for Simplex Regression

Provides the bootstrap-calibrated local-influence goodness-of-fit test for simplex regression models with constant or varying dispersion.

The methodology is described in Ospina, Espinheira, Silva and Barros (2026). This package is authored and maintained by Raydonal Ospina.

Main functions:

simplex_fit	Fit a simplex regression model via MLE.
simplex_gof	Parametric-bootstrap GoF test.
simplex_diag	Influence diagnostics and test quantities.
plot_influence	Influence index plot.
plot_envelope	Half-normal plot with bootstrap envelope.
plot_gof_boot	Bootstrap distribution of \(U_n\).
paper_ammonia	Reproduce ammonia application from the paper.
paper_pbsc	Reproduce PBSC application from the paper.
rsimplex	Random generation from the simplex distribution.
sim_table1	Monte Carlo size/power study.

Datasets: ammonia (n = 21) and pbsc (n = 239).

References

Ospina R., Espinheira P.L., Silva F.C., Barros M. (2026). A Bootstrap-Calibrated Local Influence Goodness-of-Fit Procedure for Simplex Regression Models.

See also

https://github.com/Raydonal/simplexgof

Author

Author and Maintainer: Raydonal Ospina raydonal@de.ufpe.br (ORCID)