Fitsum Abadi, Olivier Gimenez, Raphaël Arlettaz, and Michael Schaub. 2010. An assessment of integrated population models: bias, accuracy, and violation of the assumption of independence. Ecology 91:7–14.

Supplement

The R and WinBUGS codes used in the paper.
Ecological Archives E091-001-S1.

Copyright

Authors
File list (downloads)
Description

Author(s)

Fitsum Abadi
Institute of Ecology and Evolution - Conservation Biology, University of Bern
Baltzerstrasse 6 br /> CH-3012 Bern
Switzerland
E-mail: fitsum.gebreselassie@iee.unibe.ch

Olivier Gimenez
Centre d’Ecologie Fonctionnelle et Evolutive, UMR 5175
1919 Route de Mende
34293 Montpellier Cedex 5
France

Raphael Arlettaz
Institute of Ecology and Evolution - Conservation Biology, University of Bern
Baltzerstrasse 6
CH-3012 Bern
Switzerland
Swiss Ornithological Institute
CH-6024 Sempach
Switzerland

Michael Schaub
Institute of Ecology and Evolution - Conservation Biology, University of Bern
Baltzerstrasse 6
CH-3012 Bern
Switzerland
Swiss Ornithological Institute
CH-6024 Sempach
Switzerland

File list

IPM_RCODE.txt

IPM_WinBUGS.bug

Description

"IPM_RCODE.txt" : This file contains R codes to perform the following:

  1. To create the population data, which is the complete life history of each individual in the population.To create completely independent and dependent samples for the three studies (capture-recapture, population survey and reproductive success studies).To create capture-recapture data, population survey data and reproductive success data using individuals that are subject to each study.
  2. To analyze the data sets using a Bayesian framework calling WinBUGS from R using R2WinBUGS.

"IPM_WinBUGS.bug" : This file contains WinBUGS codes to perform the following analyses:
  1. Integrated population model using three data sets (capture-recapture, population survey and reproductive success data) (IPM3)Integrated population model using two data sets (capture-recapture and population survey data) (IPM2)The Cormack-Jolly-Seber (CJS) model for capture-recapture data
  2. The Poisson model for reproductive success data

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