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

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

Package: ecostats
Title: Code and Data Accompanying the Eco-Stats Text (Warton 2022)
Version: 1.2.2

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

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

Package: ecostats
Title: Code and Data Accompanying the Eco-Stats Text (Warton 2022)
Version: 1.1.11

eddelbuettel/mvabund-tests: Statistical Methods for Analysing Multivariate Abundance Data

GITHUB
eddelbuettel/mvabund-tests: Statistical Methods for Analysing Multivariate Abundance Data

Author: Yi Wang, Ulrike Naumann, Stephen Wright and David Warton
Maintainer: David Warton <David.Warton@unsw.edu.au

ecostats-package: ecostats: Code and Data Accompanying the Eco-Stats Text

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

: Code and Data Accompanying the Eco-Stats Text (Warton 2022)
Description
Functions and data supporting the Eco-Stats text

ecostats-package: ecostats: Code and Data Accompanying the Eco-Stats Text

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

: Code and Data Accompanying the Eco-Stats Text (Warton 2022)
Description
Functions and data supporting the Eco-Stats text

R/gaussianSynLike.R:

GITHUB
ziwenan/BSL: Bayesian Synthetic Likelihood

with Warton's shrinkage estimation
#' gaussianSynLike(ssy, ssx, shrinkage = 'Warton', penalty = 0.9)
#' # the Gaussian synthetic

R/gaussianSynLike.R:

CRAN
BSL: Bayesian Synthetic Likelihood

with Warton's shrinkage estimation
#' gaussianSynLike(ssy, ssx, shrinkage = 'Warton', penalty = 0.9)
#' # the Gaussian synthetic

elev.test: One-sample test of a (standardised) major axis elevation

GITHUB
dfalster/smatr3: (Standardised) Major Axis Estimation and Testing Routines

difference between estimated and hypothesised elevation to the standard
error of elevation. As described in Warton

slope.test: One-sample test of a (standardised) major axis slope

GITHUB
dfalster/smatr3: (Standardised) Major Axis Estimation and Testing Routines

in Warton et al (in review).
A confidence interval for the slope is also returned, which is the primary
confidence

stat_out_score_glm_null: stat_out_score_glm_null

GITHUB
JakubStats/marge: Multivariate Adaptive Regression splines using Generalized estimating Equations

Stoklosa and David I. Warton.
References
Stoklosa, J., Gibb, H. and Warton, D.I. (2014). Fast forward selection

mvabund-package: Statistical methods for analysing multivariate abundance data

GITHUB
eddelbuettel/mvabund-tests: Statistical Methods for Analysing Multivariate Abundance Data

to the analysis of multivariate abundance data in ecology (Warton 2011), where 'abundance' should be interpreted loosely - as well

elev.test: One-sample test of a (standardised) major axis elevation

CRAN
smatr: (Standardised) Major Axis Estimation and Testing Routines

the difference between estimated and hypothesised elevation to the standard error of elevation. As described in Warton et al

slope.test: One-sample test of a (standardised) major axis slope

CRAN
smatr: (Standardised) Major Axis Estimation and Testing Routines

in Warton et al (in review).
A confidence interval for the slope is also returned, which is the primary confidence

mvabund-package: Statistical methods for analysing multivariate abundance data

RFORGE
mvabund: Statistical Methods for Analysing Multivariate Abundance Data

to the analysis of multivariate abundance data in ecology (Warton 2011), where 'abundance' should be interpreted loosely - as well

ecoCopula: Graphical Modelling and Ordination using Copulas

CRAN
ecoCopula: Graphical Modelling and Ordination using Copulas

", "Popovic", email = "g.popovic@unsw.edu.au", role = c("aut", "cre")),
person("David", "Warton", role = "ctb

README.md:

CRAN
gllvm: Generalized Linear Latent Variable Models

. C., Korhonen, P., Taskinen, S., van der Veen, B., and Warton, D. I.
(YYYY). gllvm: Generalized Linear Latent Variable