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ccrtm

0.1.6Package record

Coupled Chain Radiative Transfer Models

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

Overview

About

A set of radiative transfer models to quantitatively describe the absorption, reflectance and transmission of solar energy in vegetation, and model remotely sensed spectral signatures of vegetation at distinct spatial scales (leaf,canopy and stand). The main principle behind ccrtm is that many radiative transfer models can form a coupled chain, basically models that feed into each other in a linked chain (from leaf, to canopy, to stand, to atmosphere). It allows the simulation of spectral datasets in the solar spectrum (400-2500nm) using leaf models as PROSPECT5, 5b, and D which can be coupled with canopy models as 'FLIM', 'SAIL' and 'SAIL2'. Currently, only a simple atmospheric model ('skyl') is implemented. Jacquemoud et al 2008 provide the most comprehensive overview of these models doi:10.1016/j.rse.2008.01.026.

Install

Health

CRAN checks
13OK
Slowest check: 3.2 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.6
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
23includes a package overview page
Examples that run
100%5 run in a plain check
Exported functions with examples
42%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
30%

Downloads

3.1K
CRAN downloads in the past year
Rank #14,381 · ~8/day · ~258/mo
Daily download trend is not available in this view yet.
27530 days
83290 days
3.1K1 year
Compare downloads with other packages →
Also on358 r2u10 autocran

Repository

16Stars
3Forks
1Open issues
0Open PRs
0Releases
519Commits
1Commit identities
519 commits · Last activity 2025-03-12 · 0% stars, 30d · Default branch at 0.4.1, ahead of CRAN 0.1.6 (checked 2026-10-22)
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
687
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2025-03-29 · 162026-07-07 · 16
PracticesBeta

Checks run against github.com/marcodvisser/ccrtm on 2026-10-22.

No development-tooling practices detected in the upstream repository.

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

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing ccrtm adds 27 packages (13 with compiled code, 8.9 MB of source tarballs). Heaviest: Rcpp 1.8 MB, fs 1.4 MB, jsonlite 1.0 MB.

Depends (1)
R >= 3.5.0
Imports (7)
graphicsgrDevicesstatstestthatRcppexpintpracma
LinkingTo (1)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1.6 (2021)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 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
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.6Latest
    2021-02-26 · current release
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-02-26
Total releases
1 / 5 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
95 KB / 4 files
Download size
219 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ccrtm")
Visser, M. D. (2021). ccrtm: Coupled Chain Radiative Transfer Models (Version 0.1.6) [Computer software]. https://doi.org/10.32614/CRAN.package.ccrtm

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 ccrtm version 0.1.6 [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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