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SightabilityModel: Wildlife Sightability Modeling

Uses logistic regression to model the probability of detection as a function of covariates. This model is then used with observational survey data to estimate population size, while accounting for uncertain detection. See Steinhorst and Samuel (1989).

Version: 1.5.5
Imports: formula.tools, Matrix, msm, plyr, mvtnorm, stats, survey, utils
Suggests: car, data.table, GGally, ggplot2, kableExtra, knitr, readxl, reshape2, rmarkdown, tidyr, R.rsp
Published: 2023-08-19
DOI: 10.32614/CRAN.package.SightabilityModel
Author: Fieberg John [aut], Schwarz Carl James [aut, cre]
Maintainer: Schwarz Carl James <cschwarz.stat.sfu.ca at gmail.com>
License: GPL-2
URL: https://github.com/jfieberg/SightabilityModel
NeedsCompilation: no
Citation: SightabilityModel citation info
Materials: README NEWS
CRAN checks: SightabilityModel results

Documentation:

Reference manual: SightabilityModel.pdf
Vignettes: b-Implementing the Ratio Estimator
d-DomainStratification-method-of-Heard-2008
c-MoosePopR and SightabilityPopR Demonstration
a-Estimating Population Abundance Using Sightability Models: R SightabilityModel Package

Downloads:

Package source: SightabilityModel_1.5.5.tar.gz
Windows binaries: r-devel: SightabilityModel_1.5.5.zip, r-release: SightabilityModel_1.5.5.zip, r-oldrel: SightabilityModel_1.5.5.zip
macOS binaries: r-release (arm64): SightabilityModel_1.5.5.tgz, r-oldrel (arm64): SightabilityModel_1.5.5.tgz, r-release (x86_64): SightabilityModel_1.5.5.tgz, r-oldrel (x86_64): SightabilityModel_1.5.5.tgz
Old sources: SightabilityModel archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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