Title: Computational Methods for Economic Complexity
comment = "World GDP per capita dataset"
Description: A wrapper of different methods from Linear Algebra for the equations
introduced in The Atlas of Economic Complexity and related literature. This
package provides standard matrix and graph output that can be used seamlessly
The World Bank [dtc] (World GDP per capita dataset),
Open Trade Statistics [dtc] (World Trade dataset)

Suggests: testthat (>= 2.1.0), knitr, markdown, ggraph

with other packages. See <doi:10.21105/joss.01866> for a summary
of these methods and its evolution in literature.
Suggests: testthat (>= 2.1.0), knitr, ggraph, rmarkdown, covr

Title: Null Model Analysis for Ecological Networks
Suggests: cheddar, igraph, knitr, rmarkdown, testthat, vdiffr
Description: Tools for using null models to analyse ecological
networks (e.g. food webs, flower-visitation networks, seed-dispersal
networks) and detect resource preferences or non-random interactions among
network nodes. Tools are provided to run null models, test for and plot
preferences, plot and analyse bipartite networks, and export null model
results in a form compatible with other network analysis packages. The
underlying null model was developed by Agusti et al. (2003)
ecological networks by Vaughan et al. (2017) econullnetr: an R package
using null models to analyse the structure of ecological networks and
identify resource selection. Methods in Ecology & Evolution, in press.

Suggests: igraph, knitr, readr, rmarkdown, testthat, vdiffr
underlying null model was developed by Agusti et al. (2003) Molecular
Ecology <doi:10.1046/j.1365-294X.2003.02014.x> and the full application to
ecological networks by Vaughan et al. (2018) econullnetr: an R package
identify resource selection. Methods in Ecology & Evolution,

Title: Power Estimates and Equivalence Testing for Multivariate Data
person("Michelle", "Lim", email = "michelle.lim@unsw.edu.au", role = c("aut", "cre"))
Description: Estimates power by simulation for multivariate
abundance data to be used for sample size estimates. Multivariate
equivalence testing by simulation from a Gaussian copula model.
The package also provides functions for parameterising multivariate effect
sizes and simulating multivariate abundance data jointly. The discrete
Gaussian copula approach is described in
Imports: parallel, mvabund, ecoCopula, stats