• Quantifying fixed individual heterogeneity in demographic parameters: Performance of correlated random effects for Bernoulli variables 

      Fay, Rémi; Authier, Matthieu; Hamel, Sandra; Jenouvrier, Stéphanie; van de Pol, Martijn; Cam, Emmanuelle; Gaillard, Jean-Michel; Yoccoz, Nigel G.; Acker, Paul; Allen, Andrew; Aubry, Lise M.; Bonenfant, Christophe; Caswell, Hal; Coste, Christophe; Larue, Benjamin; Le Coeur, Christie; Gamelon, Marlène; Macdonald, Kaitlin R.; Moiron, Maria; Nicol-Harper, Alex; Pelletier, Fanie; Rotella, Jay J.; Teplitsky, Celine; Touzot, Laura; Wells, Caitlin P.; Sæther, Bernt-Erik (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-09-24)
      <ol type="1"> <li>An increasing number of empirical studies aim to quantify individual variation in demographic parameters because these patterns are key for evolutionary and ecological processes. Advanced approaches to estimate individual heterogeneity are now using a multivariate normal distribution with correlated individual random effects to account for the latent correlations among different ...