Description Details Author(s) References Examples
The package implements models to analyze site occupancy and count data models with detection error. The package development was supported by the Alberta Biodiversity Monitoring Institute (ABMI) (http://www.abmi.ca/) and the Boreal Avian Modelling (BAM) Project (http://www.borealbirds.ca/).
svocc
: single visit occupancy model
(Lele et al. 2011, Moreno et al. 2010).
svabu
: single visit abundance model
based on conditional maximum likelihood
(Solymos et al. 2012).
cmulti
: conditional multinomial maximum likelihood
estimation for removal and (point count) distance sampling,
efficient and flexible setup for varying methodologies
(Solymos et al. 2013).
Peter Solymos, Monica Moreno, Subhash R Lele
Maintainer: Peter Solymos <solymos@ualberta.ca>
Moreno, M. and Lele, S. R. 2010. Improved estimation of site occupancy using penalized likelihood. Ecology, 91, 341–346.
Lele, S.R., Moreno, M. and Bayne, E. 2011. Dealing with detection error in site occupancy surveys: What can we do with a single survey? Journal of Plant Ecology, 5(1), 22–31.
Solymos, P., Lele, S. R and Bayne, E. 2011. Conditional likelihood approach for analyzing single visit abundance survey data in the presence of zero inflation and detection error. Environmetrics, 23, 197–205.
Solymos, P., Matsuoka, S. M., Bayne, E. M., Lele, S. R., Fontaine, P., Cumming, S. G., Stralberg, D., Schmiegelow, F. K. A. & Song, S. J., 2013. Calibrating indices of avian density from non-standardized survey data: making the most of a messy situation. Methods in Ecology and Evolution, 4, 1047–1058.
Supporting info, including a tutorial for the above paper: http://dcr.r-forge.r-project.org/qpad/
1 | ## FIXME!!! how to open tutorial/vignette?
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.