Package: ArvindRF 1.0.0
ArvindRF: Random Forest Regression with Arvind Distribution Error Model
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>.
Authors:
ArvindRF_1.0.0.tar.gz
ArvindRF_1.0.0.zip(r-4.7-any)ArvindRF_1.0.0.zip(r-4.6-any)ArvindRF_1.0.0.zip(r-4.5-any)
ArvindRF_1.0.0.tgz(r-4.6-any)ArvindRF_1.0.0.tgz(r-4.5-any)
ArvindRF_1.0.0.tar.gz(r-4.7-any)ArvindRF_1.0.0.tar.gz(r-4.6-any)
ArvindRF_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ArvindRF/json (API)
| # Install 'ArvindRF' in R: |
| install.packages('ArvindRF', repos = c('https://shikhartyagi.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:22582ed64e. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 162 | ||
| source / vignettes | OK | 157 | ||
| linux-release | OK | 165 | ||
| macos-release | OK | 95 | ||
| macos-oldrel | OK | 94 | ||
| windows-devel | OK | 77 | ||
| windows-release | OK | 77 | ||
| windows-oldrel | OK | 61 | ||
| wasm-release | OK | 100 |
Exports:ad_arvindarvind_mlebootstrap_cidarvindharvindks_arvindmcmc_arvindparvindqarvindrarvindrf_arvindsarvind
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The Arvind Distribution | arvind darvind harvind parvind qarvind rarvind sarvind |
| Goodness-of-Fit Diagnostics and S3 Methods for RF-Arvind Models | ad_arvind diagnostics ks_arvind plot.rf_arvind print.rf_arvind print.summary.rf_arvind summary.rf_arvind |
| Bayesian MCMC Estimation and Highest Posterior Density (HPD) Intervals | mcmc_arvind mcmc_bayesian |
| Maximum Likelihood Estimation and Bootstrap Inference for Arvind Distribution | arvind_mle bootstrap_ci mle_em |
| Predict Method for RF-Arvind Models | predict.rf_arvind |
| Random Forest Regression with Arvind Distribution Error Model | rf_arvind |