Description Usage Format Details Source References Examples
These datasets (lazy loaded) contain the JAGS code for the alternative models
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The format is a character string containg the JAGS code, directly usable with JAGS.
These datasets contain the JAGS code for the following models:
modelCountDetectBin
This model describes the most basic N-mixture model tested in the
paper. The number of detected males is the result of a binomial
process, where the logit of the detection probability is modeled as a
function of a linear effect of the number of observers.
modelCountDetectBinREY
This model describes the most basic N-mixture model tested in the
paper. The number of detected males is the result of a binomial
process, where the logit of the detection probability is modeled as a
function of a linear effect of the number of observers plus a Year
random effect.
modelCountDetectBinREYObs2
This model describes the most basic N-mixture model tested in the
paper. The number of detected males is the result of a binomial
process, where the logit of the detection probability is modeled as a
function of a quadratic effect of the number of observers plus a Year
random effect.
modelCountDetectBinREY
This model describes the most basic
N-mixture model tested in the paper. The number of detected males is
the result of a beta-binomial process, where the logit of the mean
detection probability is modeled as a function of a linear effect of
the number of observers plus a Year random effect.
Calenge C., Menoni E., Milhau B., Foulche K, Chiffard J., Marchandeau S. (in prep.). The participatory monitoring of the capercaillie in the French Pyrenees.
Calenge C., Menoni E., Milhau B., Foulche K, Chiffard J., Marchandeau S. (in prep.). The participatory monitoring of the capercaillie in the French Pyrenees.
1 2 | ## The model
cat(modelCountDetectBinREY)
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