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phenesse

0.1.3Package record

Estimate Phenological Metrics using Presence-Only Data

0packages depend
3.4Kdownloads / year
77.5%test coverage
13/13flavors OK

Overview

About

Generates Weibull-parameterized estimates of phenology for any percentile of a distribution using the framework established in Cooke (1979) doi:10.1093/biomet/66.2.367. Extensive testing against other estimators suggest the weib_percentile() function is especially useful in generating more accurate and less biased estimates of onset and offset (Belitz et al. 2020) doi:10.1111/2041-210X.13448. Non-parametric bootstrapping can be used to generate confidence intervals around those estimates, although this is computationally expensive. Additionally, this package offers an easy way to perform non-parametric bootstrapping to generate confidence intervals for quantile estimates, mean estimates, or any statistical function of interest.

Changes in 0.1.3
  • changed DOI to recommended format in DESCRIPTION
  • changed authors to recommend format in DESCRIPTION and CITATION

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • NOTE12 OK, 1 NOTE2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.3
READMEYes · 126 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.1.3Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
6
Examples that run
60%3 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
80%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
17%

Downloads

3.4K
CRAN downloads in the past year
Rank #19,179 · ~9/day · ~284/mo
Daily download trend is not available in this view yet.
26830 days
68590 days
3.4K1 year
Compare downloads with other packages →
Also on86 r2u1 autocran

Repository

7Stars
4Forks
0Open issues
0Open PRs
6Releases
173Commits
3Commit identities
173 commits · Last activity 2025-06-11 · +16.7% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
4
Median days to close, 50 most recently updated closed PRs
1

Stars over time

2026-07-14 · 62026-10-15 · 7
PracticesBeta

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

Checks run against github.com/mbelitz/phenesse 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
4 external dependencies (excludes base and recommended)

Installing phenesse adds 2 packages (1 with compiled code, 3.1 MB of source tarballs). Heaviest: fitdistrplus 2.4 MB, rlang 766 KB.

Depends (1)
R >= 3.5
Imports (3)
bootfitdistrplusstats
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.0 (2019)
Contributor
Contributor · added in 0.1.2
Listed in earlier versions (1)
Daijinag Li
no longer listed · 0.1.1
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.3Latest
    record
    2025-06-10 · 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
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.2
    record
    2020-07-29 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.1
    record
    2020-03-28 · diff ↗ ·
    added 1 export
    estimate_ci
  • 0.1.0
    record
    2019-12-22
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-12-22
Total releases
4 / 7 yrs
License
CC0
Minimum R
≥ 3.5
Bundled data
5.0 KB / 1 file
Download size
23 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("phenesse")

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

It points to 10.1111/2041-210x.13448.

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 phenesse version 0.1.3 [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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