# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "PowerXgammaRF" in publications use:' type: software license: GPL-3.0-or-later title: 'PowerXgammaRF: Random Forest Regression with Power Xgamma Distribution Error Model' version: 1.0.0 doi: 10.32614/CRAN.package.PowerXgammaRF abstract: 'Implements Random Forest regression under the Power Xgamma distribution error model. Provides core distribution functions (density, cumulative distribution, quantile, random generation, hazard, survival), parameter estimation via Expectation-Maximization (EM) and Markov Chain Monte Carlo (MCMC), non-parametric bootstrap confidence intervals (at 90%, 95%, and 99% levels), Highest Posterior Density (HPD) intervals, Heidelberger and Welch''s MCMC convergence diagnostic, convergence probability, model evaluation metrics (estimated values, bias, mean squared error, risk value), homoscedastic prediction intervals, and goodness-of-fit diagnostic tests (Kolmogorov-Smirnov and Anderson-Darling tests, Akaike Information Criterion, and Bayesian Information Criterion). References: Tyagi et al. (2022, Int. J. Stat. Reliab. Eng., 9(1), 51-60); Breiman (2001) ; Wright and Ziegler (2017) ; Heidelberger and Welch (1983) ; Sen et al. (2016) .' authors: - family-names: Tyagi given-names: Shikhar email: shikhar1093tyagi@gmail.com orcid: https://orcid.org/0000-0003-1606-0844 - family-names: Rajballie given-names: Aruna email: aruna.rajballie@utt.edu.tt - family-names: Tripathi given-names: Vrijesh email: vrijesh.tripathi@uwi.edu repository: https://shikhartyagi.r-universe.dev commit: 2408dd94d4fe42c28ce882e8db00f3ff4bdde390 date-released: '2026-08-21' contact: - family-names: Tyagi given-names: Shikhar email: shikhar1093tyagi@gmail.com orcid: https://orcid.org/0000-0003-1606-0844