R Observatory: Metrics for Rmfrac version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

Rmfrac

1.0.0Package record

Simulation and Statistical Analysis of Multifractional Processes

0packages depend

5.7Kdownloads / year

64.4%test coverage

13/13flavors OK

Overview

About

Maintained by Nemini SamarakoonCRAN page ↗GitHub ↗Issues ↗

Simulation of several fractional and multifractional processes. Includes Brownian and fractional Brownian motions, bridges and Gaussian Haar-based multifractional processes (GHBMP). Implements the methods from Ayache, Olenko and Samarakoon (2026) doi:10.1016/j.matcom.2026.01.033 for simulation of GHBMP. Estimation of Hurst functions and local fractal dimension. Clustering realisations based on the Hurst functions. Several functions to estimate and plot geometric statistics of the processes and time series. Provides a 'shiny' application for interactive use of the functions from the package.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("Rmfrac", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("Nemini-S/Rmfrac")

Development version from Nemini-S/Rmfrac. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-rmfrac

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-Rmfrac

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-Rmfrac

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 4.8 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK12 OK2026-04-25

Show 1 earlier changeHide 1 earlier change

WARNING11 OK, 3 WARNING2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMEYes · 230 wordsVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 32includes a package overview page
Examples that run: 72%21 run in a plain check (1 of them under a condition) · 8 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 99%
Return-value docs: 100%
Help pages citing references: 28%

How these are measured

Downloads

5.7K

CRAN downloads in the past year

Rank #8,786 · ~16/day · ~474/mo

Releases R versions

Daily download trend is not available in this view yet.

33330 days

1.1K90 days

5.7K1 year

Compare downloads with other packages →

Also on88 r2u2 autocran

How downloads are counted

Repository

nemini-s/rmfrac ↗Account: Nemini-S

0Stars

1Forks

0Open issues

0Open PRs

0Releases

77Commits

1Commit identities

77 commits · Last activity 2026-04-17

Responsiveness

not measured

How these are measured

PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/nemini-s/rmfrac on 2026-10-22.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Installing Rmfrac adds 81 packages (46 with compiled code, 79 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (0)

none

Imports (16)

parallelparallelly ggplot2 zoo matrixStats proxy rlangstatsforeach doParallel plotly shinygraphicsshinycssloaders fieldsutils

LinkingTo (0)

none

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Nemini Samarakoon

Author, Maintainer since 0.1.1 (2025)

Andriy Olenko

Author

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.0.0Latest
record
2026-04-17 · current release · diff ↗
0.1.1
record
2025-09-10
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-09-10
Total releases: 2 / 1 yrs
License: GPL-3 OSI
Download size: 143 KB

Appears in task views

Cluster Analysis & Finite Mixture Models Empirical Finance

Cite

Cite this package

Run in R for the authors' entry:

citation("Rmfrac")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1016/j.matcom.2026.01.033, 10.1007/s11009-026-10267-w.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for Rmfrac version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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