Estimating Lengths and Uncertainty from Photogrammetric Imagery
Overview
Implementation of Bayesian models for estimating object lengths and morphological relationships between object lengths using photographic data collected from drones. The Bayesian model is described in "Bayesian approach for predicting photogrammetric uncertainty in morphometric measurements derived from drones" (Bierlich et al., 2021, doi:10.3354/meps13814).
- Fixed vignettes (
Xcetainty,Xcertainty_informative_priors, andXcertainty_growth_curves). Figures were not displaying properly in initial release.
From NEWS.md in the release
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 17
- Examples that run
- 100%9 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 98%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/mmi-codex/xcertainty on 2026-10-25.
Dependencies
Code & Tests
Datasets
People & History
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.0.1Latest
- 1.0.02024-10-21
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-10-21
- Total releases
- 2 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.0.2
- Bundled data
- 412 KB / 8 files
- Download size
- 1.9 MB
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