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RLumCarlo

0.1.10Package record

Monte-Carlo Methods for Simulating Luminescence Phenomena

0packages depend
3.1Kdownloads / year
99.5%test coverage
13/13flavors OK

Overview

About

A collection of functions to simulate luminescence production in dosimetric materials using Monte Carlo methods. Implemented are models for delocalised transitions (e.g., Chen and McKeever (1997) doi:10.1142/2781), localised transitions (e.g., Pagonis et al. (2019) doi:10.1016/j.jlumin.2018.11.024) and tunnelling transitions (Jain et al. (2012) doi:10.1088/0953-8984/24/38/385402 and Pagonis et al. (2019) doi:10.1016/j.jlumin.2018.11.024). Supported stimulation methods are thermal luminescence (TL), continuous-wave optically stimulated luminescence (CW-OSL), linearly-modulated optically stimulated luminescence (LM-OSL), linearly-modulated infrared stimulated luminescence (LM-IRSL), and isothermal luminescence (ITL or ISO-TL).

Changes in 0.1.10
  • Internal: Change standard C++11 to C++17 as requested by CRAN

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.9 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-01
Show 4 earlier changesHide 4 earlier changes
  • ERROR12 OK, 1 ERROR2026-05-30
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.10
READMEYes · 390 wordsVignettesYes · 2 · dynamicNEWSYes · 67% structured · mentions 0.1.10Citation fileYes · cites a publicationWebsiteYes · pkgdown
Cites an R Journal article
Help pages
16 (1 internal)includes a package overview page
Examples that run
100%15 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
81%

Downloads

3.1K
CRAN downloads in the past year
Rank #14,140 · ~9/day · ~262/mo
Daily download trend is not available in this view yet.
28930 days
83490 days
3.1K1 year
Compare downloads with other packages →
Also on352 r2u6 autocran

Repository

3Stars
0Forks
0Open issues
0Open PRs
7Releases
478Commits
6Commit identities
monte-carlo-simulationsfeldsparluminescencesimulationgeochronologyrr-packageluminescence-models
License file reads as GPL-3.0 · 478 commits · Last activity 2025-09-19 · Default branch at 0.1.10.9000-3, ahead of CRAN 0.1.10 (checked 2026-10-21)
Responsiveness
not measured

Stars over time

2022-08-15 · 22026-07-07 · 3
PracticesBeta

11 development-tooling and community-health practices detected across 7 families in the upstream repository

Checks run against github.com/r-lum/rlumcarlo on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, and on R-devel

Governance and community (1)
Issue templates
Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2025-09-19

pkgdown site last built 2025-09-19

Coverage (1)
Coverage reporting (Codecov)
Show all practicesHide 3 practices
Reproducibility and dev environment (1)
Makefile
CRAN release process (1)
cran-comments.md
Research and citation (2)
codemeta.jsonZenodo
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing RLumCarlo adds 9 packages (3 with compiled code, 6.8 MB of source tarballs). Heaviest: khroma 2.7 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (3)
R >= 4.4utilsmagrittr
Imports (9)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (7)
Author, Translator, Maintainer since 0.1.4 (2020)
Author, Translator
Contributor
Contributor
Contributor
Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.10Latest
    record
    2025-09-19 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.9
    record
    2022-08-08 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.8
    record
    2022-02-21 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.7
    record
    2020-12-10 · diff ↗
  • 0.1.6
    record
    2020-07-05 · diff ↗
  • 0.1.5
    record
    2020-06-12 · diff ↗
  • 0.1.4
    record
    2020-06-12
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-06-12
Total releases
7 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 4.4
Download size
654 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RLumCarlo")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 RLumCarlo version 0.1.10 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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