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rTG

1.0.4

Methods to Analyse Seasonal Radial Tree Growth Data

0packages depend
3.1Kdownloads / year
49.2%test coverage
13/13checks pass

Overview

About
Maintained by Jernej JevsenakFirst published 2021-07-216 releasesCRAN page ↗GitHub ↗

Methods for comparing different regression algorithms for describing the temporal dynamics of secondary tree growth (xylem and phloem). Users can compare the accuracy of the most common fitting methods usually used to analyse xylem and phloem data, i.e., Gompertz function, Double Gompertz function, General Additive Models (GAMs); and an algorithm newly introduced to the field, i.e., Bayesian Regularised Neural Networks (brnn). The core function of the package is XPSgrowth(), while the results can be interpreted using implemented generic S3 methods, such as plot() and summary().

Install

Health

CRAN checks
13OK
Slowest check: 2.4 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.03
49.2%
Coverage · measured lines
100%
Documentation · exports
8
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
98%
Return-value docs
100%
References docs
0%

Downloads

3.1K
CRAN downloads in the past year
Rank #18,302 · ~9/day · ~260/mo
Daily download trend is not available in this view yet.
13730 days
61690 days
3.1K1 year
Compare downloads with other packages →
Also on88 r2u21 autocran

Repository

Repository
1Stars
0Forks
0Open issues
0Open PRs
0Releases
75Commits
1Contributors
75 commits · Last activity 2025-02-28

Stars over time

2023-11-07 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/jernejjevsenak/rtg on 2026-08-23.

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (3)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.4Latest
    2025-02-28 · current release · diff ↗
  • 1.0.3
    2024-07-25 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.2
    2024-02-03 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.1
    2022-05-12 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.0
    2022-02-19 · diff ↗
  • 0.2.2
    2021-07-21
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-07-21
Total releases
6 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5
Bundled data
12 KB / 3 files
Download size
27 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rTG")
Jevsenak, J. (2025). rTG: Methods to Analyse Seasonal Radial Tree Growth Data (Version 1.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.rTG

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 rTG version 1.0.4 [Data set]. HJJB, LLC. Data release v2026-08-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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