Xcertainty: Estimating Lengths and Uncertainty from Photogrammetric Imagery

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>).

Version:	1.0.1
Depends:	R (≥ 3.0.2), nimble
Imports:	tidyr, dplyr, coda
Suggests:	testthat, knitr, rmarkdown, stringr, ggdist, tidyverse
Published:	2024-10-26
DOI:	10.32614/CRAN.package.Xcertainty
Author:	Joshua Hewitt [aut], K.C. Bierlich [aut, cre], Enrico Pirotta [aut]
Maintainer:	K.C. Bierlich <bierlick at oregonstate.edu>
BugReports:	https://github.com/MMI-CODEX/Xcertainty/issues
License:	MIT + file LICENSE
URL:	https://github.com/MMI-CODEX/Xcertainty
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	Xcertainty results

Documentation:

Reference manual:	Xcertainty.pdf
Vignettes:	Xcertainty (source) Xcertainty Growth Curves (source) Xcertainty informative priors (source)

Downloads:

Package source:	Xcertainty_1.0.1.tar.gz
Windows binaries:	r-devel: Xcertainty_1.0.1.zip, r-release: Xcertainty_1.0.1.zip, r-oldrel: Xcertainty_1.0.1.zip
macOS binaries:	r-release (arm64): Xcertainty_1.0.1.tgz, r-oldrel (arm64): Xcertainty_1.0.1.tgz, r-release (x86_64): Xcertainty_1.0.1.tgz, r-oldrel (x86_64): Xcertainty_1.0.1.tgz
Old sources:	Xcertainty archive

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