Code and Data Accompanying the Eco-Stats Text (Warton 2022)
c(person("David", "Warton", email = "david.warton@unsw.edu.au", role = c("aut", "cre")),
person("Christopher", "Chung", role = "ctb"),
person("Mark", "Donoghoe", role = "ctb"),
person("Eve", "Slavich", role = "ctb")
)
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.
ecoCopula, GET, graphics, grDevices, MASS, mgcv, mvtnorm,
stats
knitr, rmarkdown, ade4, caper, car, corrplot, DAAG, DHARMa,
dplyr, ecomix, 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
David Warton [aut, cre],
Christopher Chung [ctb],
Mark Donoghoe [ctb],
Eve Slavich [ctb]

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

Statistical Scaling Functions for Ecological Systems
c(person("Adam", "Clark", role = c("aut", "cre"),
email = c("adam.tclark@gmail.com"),
comment = c(ORCID = "0000-0002-8843-3278")))
Implementation of the scaling functions presented in "General statistical scaling laws for stability in ecological systems" by Clark et al in Ecology Letters <DOI:10.1111/ele.13760>. Includes functions for extrapolating variability, resistance, and resilience across spatial and ecological scales, as well as a basic simulation function for producing time series, and a regression routine for generating unbiased parameter estimates. See the main text of the paper for more details.