ecostats: Code and Data Accompanying the Eco-Stats Text (Warton 2022)

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
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

Documentation:

Reference manual:

ecostats.pdf

Vignettes:

Chapter 10 – Analysing discrete data – Exercise solutions and Code Boxes Chapter 11 – Multivariate analysis – Exercise solutions and Code Boxes Chapter 12 – Visualising many responses – Exercise solutions and Code Boxes Chapter 13 – Allometric line-fitting – Exercise solutions and Code Boxes Chapter 14 – Multivariate abundances – inference about environmental associations – Exercise solutions and Code Boxes Chapter 15 – Predicting multivariate abundances – Exercise solutions and Code Boxes Chapter 16 – Understanding variation in environmental response across taxa – Exercise solutions and Code Boxes Chapter 17 – Studying co-occurrence patterns – Exercise solutions and Code Boxes Chapter 1 – 'STATS 101' Revision – Exercise solutions and Code Boxes Chapter 2 – An importance equivalence result – Exercise solutions and Code Boxes Chapter 3 – Regression with multiple predictor variables – Exercise solutions and Code Boxes Chapter 4 – Linear models – anything goes – Exercise solutions and Code Boxes Chapter 5 – Model selection – Exercise solutions and Code Boxes Chapter 6 – Mixed effect models – Exercise solutions and Code Boxes Chapter 7 – Correlated samples in times, space, phylogeny... – Exercise solutions and Code Boxes Chapter 8 – Wiggly Models – Exercise solutions and Code Boxes Chapter 9 – Design-based inference – Exercise solutions and Code Boxes Eco-Stats – Code and Data Accompanying the Eco-Stats Text

Downloads:

Package source:	ecostats_1.2.1.tar.gz
Windows binaries:	r-devel: ecostats_1.2.1.zip, r-release: ecostats_1.2.1.zip, r-oldrel: ecostats_1.2.1.zip
macOS binaries:	r-release (arm64): ecostats_1.2.1.tgz, r-oldrel (arm64): ecostats_1.2.1.tgz, r-release (x86_64): ecostats_1.2.1.tgz, r-oldrel (x86_64): ecostats_1.2.1.tgz
Old sources:	ecostats archive

Linking:

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