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DESCRIPTION
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Type: Package
Package: sdmTMB
Title: Spatiotemporal Species Distribution GLMMs with 'TMB'
Version: 0.0.22.9001
Authors@R:
c(person(given = c("Sean", "C."),
family = "Anderson",
role = c("aut", "cre"),
email = "[email protected]",
comment = c(ORCID = "0000-0001-9563-1937")),
person(given = c("Eric", "J."),
family = "Ward",
role = "aut",
comment = c(ORCID = "0000-0002-4359-0296")),
person(given = c("Lewis", "A.", "K."),
family = "Barnett",
role = "aut",
comment = c(ORCID = "0000-0002-9381-8375")),
person(given = c("Philina", "A."),
family = "English",
role = "aut",
comment = c(ORCID = "0000-0003-2992-6782")))
Description: The 'sdmTMB' package implements spatiotemporal
predictive-process GLMMs (Generalized Linear Mixed Effect Models)
using 'TMB', 'INLA', and Gaussian Markov random fields. One common
application is for spatial or spatiotemporal species distribution
models (SDMs).
License: GPL (>=3)
URL: https://pbs-assess.github.io/sdmTMB/index.html
BugReports: https://github.com/pbs-assess/sdmTMB/issues
Depends:
R (>= 3.5.0)
Imports:
assertthat,
clisymbols,
fishMod,
generics,
lifecycle,
glmmTMB,
graphics,
Matrix,
methods,
mgcv,
mvtnorm,
stats,
TMB (>= 1.8.0)
Suggests:
DHARMa,
dplyr,
future.apply,
ggplot2,
INLA,
knitr,
rgdal,
rmarkdown,
rstan,
sf,
splancs,
testthat,
tmbstan
LinkingTo:
RcppEigen,
TMB
VignetteBuilder:
knitr
Additional_repositories:
https://inla.r-inla-download.org/R/stable
ByteCompile: true
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.2
SystemRequirements: GNU make
Config/testthat/edition: 3
Config/testthat/parallel: true