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MTLRF

1.0.0Package record

Random Forest Regression with Modified Topp-Leone Error Model

0packages depend
526downloads / year
59.6%test coverage
13/13flavors OK

Overview

About

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) doi:10.1023/A:1010933404324; Singh, Tyagi, Singh, and Tyagi (2025) https://statassoc.or.th; Topp and Leone (1955) doi:10.1080/01621459.1955.10501259; Wright and Ziegler (2017) doi:10.18637/jss.v077.i01; Plummer, Best, Cowles, and Vines (2006) https://CRAN.R-project.org/package=coda; Heidelberger and Welch (1983) doi:10.1287/opre.31.6.1109.

Install

Health

CRAN checks
13OK
Slowest check: 1.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK7 OK2026-08-22
Advisories

none known

Documentation

In release 1.0.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Description cites a JSS article
Help pages
7
Examples that run
100%7 run in a plain check
Exported functions with examples
100%
Documented parameters
90%
Return-value docs
100%
Help pages citing references
0%

Downloads

526
CRAN downloads in the past year
Rank #23,860 · ~1/day · ~44/mo
Daily download trend is not available in this view yet.
22630 days
52690 days
5261 year
Compare downloads with other packages →
Also on12 r2u2 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing MTLRF adds 5 packages (4 with compiled code, 3.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB, ranger 175 KB.

Depends (1)
R >= 4.0.0
Imports (5)
rangercodagofteststatsgraphics
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 1.0.0 (2026)
Releases (1)
  • 1.0.0Latest
    2026-08-21 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-08-21
Total releases
1 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.0.0
Download size
16 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MTLRF")
Tyagi, S., Rajballie, A., & Tripathi, V. (2026). MTLRF: Random Forest Regression with Modified Topp-Leone Error Model (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.MTLRF

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MTLRF version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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