Package: MTLRF Type: Package Title: Random Forest Regression with Modified Topp-Leone Error Model Version: 1.0.0 Date: 2026-08-18 Authors@R: c( person("Shikhar", "Tyagi", email = "shikhar1093tyagi@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1606-0844")), person("Aruna", "Rajballie", email = "aruna.rajballie@utt.edu.tt", role = "aut"), person("Vrijesh", "Tripathi", email = "vrijesh.tripathi@uwi.edu", role = "aut") ) Description: Implements Random Forest regression under the Modified Topp-Leone (MTL) distribution error model. Provides core distribution functions (density, cumulative distribution, exact closed-form quantile, random generation, hazard, and survival), parameter estimation via closed-form Expectation-Maximization/Maximum Likelihood (EM/MLE) and Bayesian Markov Chain Monte Carlo (MCMC), non-parametric bootstrap confidence intervals (at 90%, 95%, and 99% levels), Highest Posterior Density (HPD) intervals, Heidelberger and Welch MCMC convergence diagnostics, 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: Breiman (2001) ; Singh, Tyagi, Singh, and Tyagi (2025) ; Topp and Leone (1955) ; Wright and Ziegler (2017) ; Plummer, Best, Cowles, and Vines (2006) ; Heidelberger and Welch (1983) . License: GPL (>= 3) Encoding: UTF-8 RoxygenNote: 7.3.3 Depends: R (>= 4.0.0) Imports: ranger, coda, goftest, stats, graphics Suggests: testthat (>= 3.0.0) Config/testthat/edition: 3 Language: en-US NeedsCompilation: no Packaged: 2026-09-21 09:41:12 UTC; root Author: Shikhar Tyagi [aut, cre] (ORCID: ), Aruna Rajballie [aut], Vrijesh Tripathi [aut] Maintainer: Shikhar Tyagi Repository: https://shikhartyagi.r-universe.dev Date/Publication: 2026-08-21 13:10:42 UTC RemoteUrl: https://github.com/cran/MTLRF RemoteRef: HEAD RemoteSha: 4a305d4cd90c7a395fe2ac4a55a1f01125ba6ce8