Other packages > Find by keyword >

ArvindRF  

Random Forest Regression with Arvind Distribution Error Model
View on CRAN: Click here


Download and install ArvindRF package within the R console
Install from CRAN:
install.packages("ArvindRF")

Install from Github:
library("remotes")
install_github("cran/ArvindRF")

Install by package version:
library("remotes")
install_version("ArvindRF", "1.0.0")



Attach the package and use:
library("ArvindRF")
Maintained by
Shikhar Tyagi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-21
Latest Update: 2026-08-21
Description:
Implements Random Forest regression under the Arvind 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, 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>; Wright and Ziegler (2017) <doi:10.18637/jss.v077.i01>.
How to cite:
Shikhar Tyagi (2026). ArvindRF: Random Forest Regression with Arvind Distribution Error Model. R package version 1.0.0, https://cran.r-project.org/web/packages/ArvindRF. Accessed 29 Sep. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited ArvindRF R package
View ArvindRF citation profile
Other R packages that ArvindRF depends, imports, suggests or enhances
Complete documentation for ArvindRF
Functions, R codes and Examples using the ArvindRF R package
Full ArvindRF package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
CopSens  
Copula-Based Sensitivity Analysis for Observational Causal Inference
Implements the copula-based sensitivity analysis method, as discussed in Copula-based Sensitivity A ...
Download / Learn more Package Citations See dependency  
uniswappeR  
Interact with the Uniswap Platform
Routines to interact with the Uniswap trading platform and its API < ...
Download / Learn more Package Citations See dependency  
PMCMRplus  
Calculate Pairwise Multiple Comparisons of Mean Rank Sums Extended
For one-way layout experiments the one-way ANOVA can be performed as an omnibus test. All-pairs mul ...
Download / Learn more Package Citations See dependency  
FRESA.CAD  
Feature Selection Algorithms for Computer Aided Diagnosis
Contains a set of utilities for building and testing statistical models (linear, logistic,ordinal or ...
Download / Learn more Package Citations See dependency  
miniMeta  
Web Application to Run Meta-Analyses
Shiny web application to run meta-analyses. Essentially a graphical front-end to package 'meta' for ...
Download / Learn more Package Citations See dependency  

28,833

R Packages

247,686

Dependencies

76,198

Author Associations

28,834

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA