diff --git a/README.md b/README.md index 4e5801316b6d455b7f098aa4e98218cb1a2bcf5a..64d54a21e8bfa4fdfcad643b467462f618b06766 100644 --- a/README.md +++ b/README.md @@ -36,7 +36,7 @@ Also available here is the [Supplementary Appendix G](http://kimura.univ-montp2. For some substantial use of various features of `spaMM`, see e.g. the [IsoriX project](https://github.com/courtiol/IsoriX), or a story about [social dominance in hyaenas](https://doi.org/10.1038/s41559-018-0718-9), or [yet another depressing story about climate change](https://doi.org/10.1038/s41467-019-10924-4), or [the life-history of mothers of twins](https://doi.org/10.1038/s41467-022-30366-9), or a comparison of prediction by LMMs and by random-forest methods (in supplementary material of [a paper on protected area personnel](https://doi.org/10.1038/s41893-022-00970-0)). -Initial development drew inspiration from work by Lee and Nelder on _h_-likelihood (e.g. [Lee, Nelder & Pawitan](https://doi.org/10.1201/9781420011340), 2006; [Lee & Lee](http://dx.doi.org/10.1007/s11222-011-9265-9) 2012; see also [Molas and Lesaffre](http://dx.doi.org/10.1002/sim.3852), 2010), and it retains from that work several distinctive features, such as methods to fit models with non-gaussian random effects, structured dispersion models, and implementation of several variants of Laplace and PQL approximations. However, later versions have increasingly relied on additional insights. In particular, the default likelihood approximation now goes beyond those discussed in these works. +Initial development drew inspiration from work by Lee and Nelder on _h_-likelihood (e.g. [Lee, Nelder & Pawitan](https://doi.org/10.1201/9781420011340), 2006; [Lee & Lee](http://dx.doi.org/10.1007/s11222-011-9265-9) 2012; see also [Molas and Lesaffre](http://dx.doi.org/10.1002/sim.3852), 2010), and it retains from that work several distinctive features, such as methods to fit models with non-gaussian random effects, structured dispersion models, and implementation of several variants of Laplace and PQL approximations. However, later versions have increasingly relied on additional insights. Notably, the default likelihood approximation now goes beyond those discussed in these works, and is the same Laplace approximation ([Skaug & Fournier, 2006](https://doi.org/10.1016/j.csda.2006.03.005)) as in [TMB](https://cran.r-project.org/web/packages/TMB) and packages based on TMB, in particular where this departs from what is discussed in the _h_-likelihood literature (i.e., for GLM families with non-canonical link, or response families not of the GLM class). ## Credits Initial development was supported by a PEPS grant from the CNRS and University of Montpellier.