Plant Phenotyping and Bayesian Statistics
Overview
Analyse common types of plant phenotyping data, provide a simplified interface to longitudinal growth modeling and select Bayesian statistics, and streamline use of 'PlantCV' output. Several Bayesian methods and reporting guidelines for Bayesian methods are described in Kruschke (2018) doi:10.1177/2515245918771304, Kruschke (2013) doi:10.1037/a0029146, and Kruschke (2021) doi:10.1038/s41562-021-01177-7.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-02
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- ERROR11 OK, 1 ERROR2026-04-25
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
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Downloads
Repository
- PRs merged (all time)
- 99%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 0
10 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/danforthcenter/pcvr on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-08-31 · The repository has a site deploy workflow
pkgdown site last built 2026-08-31
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Dependencies
Installing pcvr adds 113 packages (57 with compiled code, 109 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
- 1.4.1Latest2026-06-23 · current release · diff ↗ ·
added 6 exports
stat_brms_model, stat_growthss, stat_lme_model, stat_nlme_model, stat_nlrq_model, stat_nls_model - RR 4.6.0 released · 2026-04-24
- 1.3.12025-08-18 · diff ↗ ·
removed 3 exports
bw.outliers, bw.time, bw.wateradded 3 exports
pcv.outliers, pcv.time, pcv.water - 1.2.02025-04-16 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 1.1.1.0
- 1.0.02024-09-05
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-09-05
- Total releases
- 5 / 2 yrs
- License
- GPL-2 OSI
- Download size
- 2.8 MB
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