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You may want to include cranly in your review of packages that produce dependence graphs (I think it was one the first in the game, if not the first), which amongst other cool things (package and author networks), provides a custom package dependence index, that characterizes how much baggage a package has, and which you should feel free to borrow.
Hey, checked out cranly and we would definitely want to include it in our vignette. I like the idea of package dependence index, though I couldn't find any explanation, what would score equal to 1 mean. I understand that higher score means "heavier" package, but is 1 a lot?
This is a good question, without a good answer. As with every index, you can only interpret the values relative to each other, because the package network is evolving. But cranly allows you to easily compute the dependence index for all packages at the current snapshot of cran. I am preparing a paper for cranly, so will share the preprint when ready
You may want to include cranly in your review of packages that produce dependence graphs (I think it was one the first in the game, if not the first), which amongst other cool things (package and author networks), provides a custom package dependence index, that characterizes how much baggage a package has, and which you should feel free to borrow.
See its R package dependence trees vignette for visNetwork visualizations and what else is provided
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