Title: Ranking Nodes in Bipartite and Weighted Networks
Authors@R: c(person("Brian", "Aronson",email = "bdaronson@gmail.com", role = c("aut", "cre")), person("Kai-Cheng", "Yang", email = "yangkc@iu.edu", role = "aut"))
Description: Highly efficient functions for estimating various rank (centrality) measures of nodes in bipartite graphs (two-mode networks). Includes methods for estimating HITS, CoHITS, BGRM, and BiRank with implementation primarily inspired by He et al. (2016) <doi:10.1109/TKDE.2016.2611584>. Also provides easy-to-use tools for efficiently estimating PageRank in one-mode graphs, incorporating or removing edge-weights during rank estimation, projecting two-mode graphs to one-mode, and for converting edgelists and matrices to sparseMatrix format. Best of all, the package's rank estimators can work directly with common formats of network data including edgelists (class data.frame, data.table, or tbl_df) and adjacency matrices (class matrix or dgCMatrix).
Depends: R (>= 3.4.0), Matrix, data.table

Title: Dealing with very large datasets using BIRCH
Author: Justin Harrington, Matias Salibian-Barrera
Packaged: Fri Feb 22 14:13:31 2008; harringt

Description: birch is an implementation of the algorithms described in Zhang et al (1997), and provides functions for creating CF-trees, along with algorithms for dealing with some combinatorial problems, such as covMcd and ltsReg. It is very well suited for dealing with very large data sets, and does not require that the data can fit in physical memory.
Packaged: Tue Feb 26 18:07:49 2008; harringt

Author: Lysiane Charest, Justin Harrington, Matias Salibian-Barrera
Description: birch is an implementation of the algorithms described in
Zhang et al (1997), and provides functions for creating
CF-trees, along with algorithms for dealing with some
combinatorial problems, such as covMcd and ltsReg. It is very
well suited for dealing with very large data sets, and does not
require that the data can fit in physical memory.

Description: A connector to the API for 'Wordnik' <https://whoapi.com>, a dictionary service that also provides
bigram generation, word frequency data, and a whole host of other functionality.
Packaged: 2016-08-13 18:45:19 UTC; ironholds