DAISIE: Dynamical Assembly of Islands by Speciation, Immigration and Extinction

Simulates and computes the (maximum) likelihood of a dynamical model of island biota assembly through speciation, immigration and extinction. See Valente et al. (2015) <doi:10.1111/ele.12461>.

Version: 4.4.1
Depends: R (≥ 4.2.0)
Imports: deSolve, graphics, stats, utils, DDD (≥ 5.0), subplex, Matrix, tensor, pracma, testit, foreach, doParallel, magrittr, parallel, Rcpp (≥ 1.0.10)
LinkingTo: Rcpp, RcppEigen, BH (≥ 1.81.0-1)
Suggests: covr, testthat (≥ 2.1.0), knitr, rmarkdown, gridExtra, dplyr, ggplot2, ggtree (≥ 3.0.0), tidytree, tidyr, purrr, ape, phytools, tibble
Enhances: doMC
Published: 2023-10-21
Author: Rampal S. Etienne ORCID iD [aut, cre], Luis Valente ORCID iD [aut], Albert B. Phillimore ORCID iD [aut], Bart Haegeman ORCID iD [aut], Joshua W. Lambert ORCID iD [aut], Pedro Santos Neves ORCID iD [aut], Shu Xie ORCID iD [aut], Richèl J.C. Bilderbeek ORCID iD [aut], Hanno Hildenbrandt ORCID iD [aut], Torsten Hauffe ORCID iD [ctb], Giovanni Laudanno ORCID iD [ctb], Nadiah Kristensen ORCID iD [ctb], Raphael Scherrer ORCID iD [ctb]
Maintainer: Rampal S. Etienne <r.s.etienne at rug.nl>
BugReports: https://github.com/rsetienne/DAISIE/issues
License: GPL (≥ 3) | file LICENSE
Copyright: See the file COPYRIGHTS for various DAISIE copyright details
DAISIE copyright details
URL: https://github.com/rsetienne/DAISIE, https://rsetienne.github.io/DAISIE/
NeedsCompilation: yes
SystemRequirements: C++17
Materials: NEWS
CRAN checks: DAISIE results

Documentation:

Reference manual: DAISIE.pdf
Vignettes: Demo: Fitting clade-specific and island-wide diversity-dependence models in DAISIE
Demo optimizing parameters
Demo simulating islands
DAISIE 'stac' values

Downloads:

Package source: DAISIE_4.4.1.tar.gz
Windows binaries: r-devel: DAISIE_4.4.1.zip, r-release: DAISIE_4.4.1.zip, r-oldrel: DAISIE_4.4.1.zip
macOS binaries: r-release (arm64): DAISIE_4.4.1.tgz, r-oldrel (arm64): DAISIE_4.4.1.tgz, r-release (x86_64): DAISIE_4.4.1.tgz
Old sources: DAISIE archive

Reverse dependencies:

Reverse imports: DAISIEprep
Reverse suggests: nLTT

Linking:

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