Most mature sparse matrix package for R?
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: There are at least two sparse matrix packages for R. I'm looking into these because I'm working with datasets that are too big and sparse to fit in memory with a dense representation. I want basic linear algebra routines, plus the ability to easily write C code to operate on them. Which library is the most mature and best to use? So far I've found Matrix which has many reverse dependencies, implying it's the most used one. SparseM which doesn't have as many reverse deps. Various graph libraries probably have their own (implicit) versions of