ecostats: Code and Data Accompanying the Eco-Stats Text (Warton 2022) (original) (raw)
Functions and data supporting the Eco-Stats text (Warton, 2022, Springer), and solutions to exercises. Functions include tools for using simulation envelopes in diagnostic plots, and a function for diagnostic plots of multivariate linear models. Datasets mentioned in the package are included here (where not available elsewhere) and there is a vignette for each chapter of the text with solutions to exercises.
Version: | 1.2.1 |
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Depends: | R (≥ 3.5.0), mvabund (≥ 4.2) |
Imports: | ecoCopula, GET, graphics, grDevices, MASS, methods, mgcv, mvtnorm, parallel, stats |
Suggests: | knitr, rmarkdown, ade4, caper, car, corrplot, DAAG, DHARMa, dplyr, gclus, GGally, ggplot2, ggthemes, glmnet, gllvm, glmmTMB, GPArotation, grplasso, lattice, leaps, lme4, MCMCglmm, multcomp, nlme, ordinal, permute, pgirmess, phylobase, phylosignal, psych, reshape2, smatr, testthat, vegan, VGAM, covr |
Published: | 2024-07-04 |
DOI: | 10.32614/CRAN.package.ecostats |
Author: | David Warton [aut, cre], Christopher Chung [ctb], Mark Donoghoe [ctb], Eve Slavich [ctb] |
Maintainer: | David Warton <david.warton at unsw.edu.au> |
License: | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)] |
URL: | https://dwarton.github.io/ecostats/ |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | ecostats results |
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