medianNmalesBB: Estimated Number of Males with Various Levels of Unaccounted...

In ClementCalenge/caperpyogm: Estimation of the Number of Male Capercaillie in the Pyrenees Mountains

Description

These datasets (lazy loaded) contain the JAGS code for the alternative models

Usage

data("medianNmalesBB")
data("medianNmalesBB2")
data("medianNmalesDC")
data("medianNmalesDC2")

Format

Each object is a matrix with n rows (see below) and 10 columns.

Details

These datasets store the estimated point estimates of the number of males on the whole mountain range in 2010-2011 for simulated situations where the simulated detection process is different from the process hypothesized by the model (see vignette for details). We simulated different levels of either heterogeneity in detection probability or accidental double counting. For each level, we simulated 10 times the process to generate 10 datasets, and for each one, we fitted the model modelCountDetectBinREY to obtain an estimate of the total number of males on the whole mountain range in 2010-2011. More precisely:

medianNmalesBB This dataset gives the 10 point estimates (columns; median of the posterior distribution) of the number of males for each one of the 7 values (rows) of the parameter delta2 controlling the level of unaccounted heterogeneity in the beta-binomial distribution used to describe the variation in detection probability (see vignette). The 7 simulated values of delta2 where: 0, 0.001, 0.005, 0.01, 0.05, 0.1, and 0.3. Here, each dataset was simulated by the function simulateDataList, i.e. by first simulating the state process (i.e., the true number of males on sampled leks) and then simulating the detection process with added unaccounted heterogeneity.

medianNmalesBB2 This dataset gives the 10 point estimates (columns; median of the posterior distribution) of the number of males for each one of the 6 values (rows) of the parameter delta2 controlling the level of unaccounted heterogeneity in the beta-binomial distribution used to describe the variation in detection probability (see vignette). The 6 simulated values of delta2 where: 0, 0.004, 0.015, 0.05, 0.1, and 0.2. Here, the same realization of the state process was used for all simulations (obtained with the function simulateN). Only the detection process varied across simulations, and the detected number of males given the true number was simulated by the function simulateDataList2.

medianNmalesDC This dataset gives the 10 point estimates (columns; median of the posterior distribution) of the number of males for each one of the 5 values (rows) of the probability that a detected male was counted twice (see vignette). The 5 simulated values of delta2 where: 0.05, 0.1, 0.2, 0.3, and 0.5. Here, each dataset was simulated by the function simulateDataList, i.e. by first simulating the state process (i.e., the true number of males on sampled leks) and then simulating the detection process with added unaccounted double counting.

medianNmalesDC2 This dataset gives the 10 point estimates (columns; median of the posterior distribution) of the number of males for each one of the 5 values (rows) of the probability that a detected male was counted twice (see vignette). The 5 simulated values of delta2 where: 0.05, 0.1, 0.2, 0.3, and 0.5. Here, the same realization of the state process was used for all simulations (obtained with the function simulateN). Only the detection process varied across simulations, and the detected number of males given the true number was simulated by the function simulateDataList2.

Source

Calenge C., Menoni E., Milhau B., Foulche K, Chiffard J., Marchandeau S. (in prep.). The participatory monitoring of the capercaillie in the French Pyrenees.

References

Calenge C., Menoni E., Milhau B., Foulche K, Chiffard J., Marchandeau S. (in prep.). The participatory monitoring of the capercaillie in the French Pyrenees.

Examples

## See the vignette for further details
## Not run: 
vignette("caperpyogm")

## End(Not run)

ClementCalenge/caperpyogm documentation built on Sept. 14, 2021, 4:14 p.m.