Package: proxyC 0.4.2
proxyC: Computes Proximity in Large Sparse Matrices
Computes proximity between rows or columns of large matrices efficiently in C++. Functions are optimised for large sparse matrices using the Armadillo and Intel TBB libraries. Among various built-in similarity/distance measures, computation of correlation, cosine similarity and Euclidean distance is particularly fast.
Authors:
proxyC_0.4.2.tar.gz
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proxyC.pdf |proxyC.html✨
proxyC/json (API)
NEWS
# Install 'proxyC' in R: |
install.packages('proxyC', repos = c('https://koheiw.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/koheiw/proxyc/issues
data-sciencedistance-measuressimilarity-measures
Last updated 29 days agofrom:747f57d32b. Checks:OK: 7 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 24 2024 |
R-4.5-win-x86_64 | NOTE | Oct 24 2024 |
R-4.5-linux-x86_64 | NOTE | Oct 24 2024 |
R-4.4-win-x86_64 | OK | Oct 24 2024 |
R-4.4-mac-x86_64 | OK | Oct 24 2024 |
R-4.4-mac-aarch64 | OK | Oct 24 2024 |
R-4.3-win-x86_64 | OK | Oct 24 2024 |
R-4.3-mac-x86_64 | OK | Oct 24 2024 |
R-4.3-mac-aarch64 | OK | Oct 24 2024 |
Exports:colSdscolZerosdistrowSdsrowZerossimil
Dependencies:latticeMatrixRcppRcppArmadillo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Standard deviation of columns and rows of large matrices | colSds rowSds |
Count number of zeros in columns and rows of large matrices | colZeros rowZeros |
Compute similarity/distance between rows or columns of large matrices | dist simil |