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Methods to Analyse Seasonal Radial Tree Growth Data

0packages depend
3.1Kdownloads / year
49.2%test coverage
13/13flavors OK

Overview

About

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().

Changes in 1.0.4
  • new functionality now allows analyses to be performed without the parameter table. In this case, random (reasonable) parameter values are assigned
  • a new check ensures that all instances in data_trees also have corresponding parameters in the 'parameters' table

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.4
README· In the repository, left out of the releaseVignettesNoNEWSYes · 100% structured · mentions 1.0.4Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
5 (1 internal)
Examples that run
100%1 run in a plain check
Exported functions with examples
50%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
0%

Downloads

3.1K
CRAN downloads in the past year
Rank #18,798 · ~8/day · ~257/mo
Daily download trend is not available in this view yet.
26630 days
70190 days
3.1K1 year
Compare downloads with other packages →
Also on62 r2u2 autocran

Repository

1Stars
0Forks
0Open issues
0Open PRs
0Releases
75Commits
1Commit identities
75 commits · Last activity 2025-02-28 · 0% stars, 30d
Responsiveness
not measured

Stars over time

2023-11-07 · 12026-07-07 · 1
PracticesBeta

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

Checks run against github.com/jernejjevsenak/rtg on 2026-10-21.

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing rTG adds 34 packages (17 with compiled code, 18 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.

Depends (3)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.2.2 (2021)
Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.4Latest
    record
    2025-02-28 · current release · diff ↗
  • 1.0.3
    record
    2024-07-25 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.2
    record
    2024-02-03 · diff ↗ ·
    added 1 export
    double_gompertz
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.1
    record
    2022-05-12 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.0
    record
    2022-02-19 · diff ↗
  • 0.2.2
    record
    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

Cite

Cite this package

Run in R for the authors' entry:

citation("rTG")

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

It points to 10.1111/ecog.06030.

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 v2026-10-25. 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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