Data-set | Simple Poisson model | N-mixture model for imperfect detection | N-mixture model with iCAR process | Comparing predictions from the three different models | References

jSDM package | Load librairies | Bernoulli probit regression | Definition of the model | Occurrence data-set | Parameter inference | Analysis of the results | Matrice of correlations | Predictions | References

Bernoulli distribution with probit link function | Model definition | Conjugate priors | Fixed species effects | Random site effects | Random site effect variance | Gibbs sampler principle | Gibbs sampler using conjuate priors | Binomial distribution with logit link function | Priors used | Adaptive Metropolis algorithm principle | Gibbs sampler using adaptative Metropolis algorithm | Poisson distribution with log link function | References

References