Update README.md

Author: seananderson

README.md

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-sdmTMB is an R package that fits spatial and spatiotemporal GLMMs (Generalized Linear Mixed Effects Models) using Template Model Builder ([TMB](https://github.com/kaskr/adcomp)), [R-INLA](https://www.r-inla.org/), and Gaussian Markov random fields. One common application is for species distribution models (SDMs). See the [documentation site](https://pbs-assess.github.io/sdmTMB/) and a preprint:
+sdmTMB is an R package for fitting spatial and spatiotemporal generalized linear mixed effect models (GLMMs) using ([TMB](https://github.com/kaskr/adcomp)), [fmesher](https://github.com/inlabru-org/fmesher), and the [SPDE](https://doi.org/10.1111/j.1467-9868.2011.00777.x) (Stochastic Partial Differential Equation) approach to approximating Gaussian random fields with Gaussian Markov random fields. One common application is spatially explicit species distribution modeling (SDM). See the [documentation site](https://pbs-assess.github.io/sdmTMB/) and a preprint:
 
-Anderson, S.C., E.J. Ward, P.A. English, L.A.K. Barnett, J.T. Thorson. 2024. sdmTMB: an R package for fast, flexible, and user-friendly generalized linear mixed effects models with spatial and spatiotemporal random fields. bioRxiv 2022.03.24.485545; doi: https://doi.org/10.1101/2022.03.24.485545
+Anderson, S.C., E.J. Ward, P.A. English, L.A.K. Barnett, J.T. Thorson. 2024. sdmTMB: an R package for fast, flexible, and user-friendly generalized linear mixed effects models with spatial and spatiotemporal random fields. In press at Journal of Statistical Software. bioRxiv preprint doi: https://doi.org/10.1101/2022.03.24.485545
 
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