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Welcome to the incidentally package! The incidentally
package implements methods to generate incidence matrices, which can
represent bipartite (aka two-mode, affiliation) networks.
The incidentally package can be cited as:
Neal, Z. P. (2022). incidentally: An R package for generating incidence matrices and bipartite graphs. CRAN. https://doi.org/10.32614/CRAN.package.incidentally
Two extended functions in the incidentally package have
their own citations, which provide extended tutorials. The
incidence.from.congress() function can be cited as:
Neal, Z. P. (2022). Constructing legislative networks in R using incidentally and backbone. Connections, 42, 1-9. https://doi.org/10.2478/connections-2019.026
The incidence.from.adjacency() function can be cited
as:
Neal, Z. P. (2023). The duality of networks and groups: Models to generate two-mode networks from one-mode networks. Network Science, 11, 397-410. https://doi.org/10.1017/nws.2023.3.
The /release branch contains the current CRAN release of the incidentally package. You can install it from CRAN with:
install.packages("incidentally")The /devel branch contains the working beta version of the next release of the incidentally package. All the functions are documented and have undergone various levels of preliminary debugging, so they should mostly work, but there are no guarantees. Feel free to use the devel version (with caution), and let us know if you run into any problems. You can install it You can install from GitHub with:
library(devtools)
install_github("zpneal/incidentally", ref = "devel", build_vignettes = TRUE)The incidentally package adopts the tinyverse philosophy, and
therefore aims to keep dependencies at a minimum.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.