_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-sdmtmb 0.7.0
Propagated dependencies: r-tmb@1.9.15 r-rlang@1.1.4 r-rcppeigen@0.3.4.0.2 r-nlme@3.1-166 r-mvtnorm@1.3-2 r-mgcv@1.9-1 r-matrix@1.7-1 r-lme4@1.1-35.5 r-lifecycle@1.0.4 r-generics@0.1.3 r-fmesher@0.2.0 r-fishmod@0.29.2 r-cli@3.6.3 r-assertthat@0.2.1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://pbs-assess.github.io/sdmTMB/
Licenses: GPL 3
Synopsis: Spatial and Spatiotemporal SPDE-Based GLMMs with 'TMB'
Description:

This package implements spatial and spatiotemporal GLMMs (Generalized Linear Mixed Effect Models) using TMB', fmesher', and the SPDE (Stochastic Partial Differential Equation) Gaussian Markov random field approximation to Gaussian random fields. One common application is for spatially explicit species distribution models (SDMs). See Anderson et al. (2024) <doi:10.1101/2022.03.24.485545>.

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