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: | 1.4.0 |
Imports: | formula.tools, Matrix, msm, plyr, stats, survey, utils |
Suggests: | car, data.table, ggplot2, kableExtra, knitr, readxl, reshape2, rmarkdown, R.rsp |
Published: | 2020-07-17 |
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 |
Reference manual: | SightabilityModel.pdf |
Vignettes: |
MoosePopR and SightabilityPopR Demonstration Implementing the Ratio Estimator Estimating Population Abundance Using Sightability Models: R SightabilityModel Package |
Package source: | SightabilityModel_1.4.0.tar.gz |
Windows binaries: | r-devel: SightabilityModel_1.4.0.zip, r-release: SightabilityModel_1.4.0.zip, r-oldrel: SightabilityModel_1.4.0.zip |
macOS binaries: | r-release: SightabilityModel_1.4.0.tgz, r-oldrel: SightabilityModel_1.4.0.tgz |
Old sources: | SightabilityModel archive |
Please use the canonical form https://CRAN.R-project.org/package=SightabilityModel to link to this page.