R Observatory: Metrics for dendRoAnalyst version 2.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

dendRoAnalyst

2.0.0Package record

A Tool for Processing and Analyzing Dendrometer Data

0packages depend

4.7Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Sugam AryalCRAN page ↗

Tools for importing, cleaning, analyzing, and visualizing high-resolution dendrometer data and for linking them with climate data. Dendrometer and climate records can be imported with automatic date-time parsing (read.dendrometer(), read.climate()) and checked for a regular temporal resolution (reso_dm()). Preprocessing functions detect and correct artificial jumps with a threshold-based or an automatic changepoint method (jump.locator()), detect and fill gaps with spline, seasonal, or network interpolation (dm.na.interpolation(), network.interpolation()), and truncate or resample the series (dendro.truncate(), dendro.resample()). Daily statistics (daily.data()), the stem-cycle approach (phase.sc()), and the zero-growth approach (phase.zg()) separate radial growth from reversible stem shrinkage and swelling. The function phase.zg() also returns metrics of tree water deficit (TWD) phases, including the event-based ABr index, and the daily drought indices of Peters et al. (2025) doi:10.1111/nph.70266. Climate data can be summarized at daily and sub-daily scales and attached to daily, phase-level, and point-level outputs (dm_add_climate()). Event-based climate analyses, superposed epoch analyses, and adverse-period analyses (dm_event_climate(), dm_epoch_test(), clim.twd()) relate tree responses to climate conditions. Seasonal growth can be fitted with Gompertz, logistic, Richards, generalized additive model, LOESS, and spline functions, detrended, and compared among methods (dm.growth.fit(), dm.detrend.fit(), dm.growth.evaluate()). Running correlations with climate (mov.cor.dm()) and wavelet power and coherence analyses based on 'WaveletComp' (dm_wavelet(), dm_wavelet_coherence()) are also provided. Most outputs have dedicated plot methods, and an optional 'shiny' application (dendroanalyst()) allows the complete workflow to be run without programming. The zero-growth approach follows Zweifel et al. (2016) doi:10.1111/nph.13995, and the first version of the package is described in Aryal et al. (2020) doi:10.1016/j.dendro.2020.125772.

Install

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

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

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

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-dendroanalyst

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-dendRoAnalyst

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-dendRoAnalyst

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: 5.4 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.0.0

READMENoVignettesYes · 2 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 154 (63 internal)
Examples that run: 6%3 run in a plain check · 35 only when donttest examples are enabled (R CMD check --as-cran) · 3 never run · 12 hold no code
Exported functions with examples: 84%
Documented parameters: 94%
Return-value docs: 100%
Help pages citing references: 3%

Vignettes (2)

How these are measured

Downloads

4.7K

CRAN downloads in the past year

Rank #5,884 · ~13/day · ~392/mo

Releases R versions

Daily download trend is not available in this view yet.

64530 days

1.4K90 days

4.7K1 year

Compare downloads with other packages →

Also on91 r2u10 autocran

How downloads are counted

Dependencies

Declared dependencies

26 external dependencies (excludes base and recommended)

Installing dendRoAnalyst adds 115 packages (61 with compiled code, 76 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 4.1.0

Imports (22)

statstoolsutilstidyverse dplyr ggplot2 lubridate readxl tibble tidyr zoo forecastmgcvminpack.lm pspline moments signal readrbootrlang changepoint WaveletComp

LinkingTo (0)

none

Suggests (9)

shiny bslib DT shinyFiles knitr rmarkdown writexl zip testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (5)

Sugam Aryal

Author, Maintainer since 0.1.0 (2020), Data contributor

Author, dgs

Author

Author

Author

Releases (8)

Pick two releases to compare their code metrics.

2.0.0Latest
record
2026-10-02 · current release · diff ↗ ·
added 1 export
dendroanalyst
0.1.6
record
2026-05-20 · diff ↗ ·
removed 3 exports
dm.detrend, plot_SC_output, plot_ZG_output

added 32 exports
clim.twd.stats, clim.twd.test, dm.detrend.fit, dm.growth.evaluate, dm.growth.fit, dm.growth.fit.double, dm_add_climate, dm_daily_clim, dm_epoch_extract, dm_epoch_test, dm_event_climate, dm_event_climate_summary, dm_event_climate_test, dm_event_times, dm_join_daily_clim, dm_join_phase_clim, dm_join_subdaily_clim, dm_plot_climate, dm_plot_climate_compare, dm_standardize, dm_subdaily_clim, dm_wavelet, dm_wavelet_coherence, dm_wavelet_reconstruct, plot_dm_assessment, plot_dm_gaps, plot_dm_interpolation, plot_event_climate_box, plot_event_climate_relation, read.climate and 2 more
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
0.1.5
record
2024-03-19 · diff ↗ ·
removed 1 export
spline.interpolation

added 9 exports
dm.detrend, dm.fit.gompertz, dm.na.interpolation, mean_detrended.dm, mov.cor.dm, plot_SC_output, plot_ZG_output, plot_mov.cor, read.dendrometer
R
R 4.3.0 released · 2023-04-21
0.1.4
record
2022-11-16 · diff ↗ ·
added 1 export
i.jump.locator
R
R 4.2.0 released · 2022-04-22
0.1.3
record
2021-10-06 · diff ↗
0.1.2
record
2021-10-05 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.1.1
record
2020-07-03 · diff ↗
0.1.0
record
2020-06-04
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-06-04
Total releases: 8 / 6 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.1.0
Bundled data: 867 KB / 6 files
Download size: 2.6 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("dendRoAnalyst")

Format

Aryal, S., Bräuning, A., Fan, Z., Grießinger, J., & Häusser, M. (2026). dendRoAnalyst: A Tool for Processing and Analyzing Dendrometer Data (Version 2.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.dendRoAnalyst

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for dendRoAnalyst version 2.0.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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