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2025-01-12 00:52:51 +08:00
Package: matrixStats
Version: 1.5.0
Depends: R (>= 3.4.0)
Suggests: utils, base64enc, ggplot2, knitr, markdown, microbenchmark,
R.devices, R.rsp
VignetteBuilder: R.rsp
Title: Functions that Apply to Rows and Columns of Matrices (and to
Vectors)
Authors@R: c(
person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"),
email="henrikb@braju.com"),
person("Constantin", "Ahlmann-Eltze", role = "ctb"),
person("Hector", "Corrada Bravo", role="ctb"),
person("Robert", "Gentleman", role="ctb"),
person("Jan", "Gleixner", role="ctb"),
person("Peter", "Hickey", role="ctb"),
person("Ola", "Hossjer", role="ctb"),
person("Harris", "Jaffee", role="ctb"),
person("Dongcan", "Jiang", role="ctb"),
person("Peter", "Langfelder", role="ctb"),
person("Brian", "Montgomery", role="ctb"),
person("Angelina", "Panagopoulou", role="ctb"),
person("Hugh", "Parsonage", role="ctb"),
person("Jakob Peder", "Pettersen", role="ctb"))
Author: Henrik Bengtsson [aut, cre, cph],
Constantin Ahlmann-Eltze [ctb],
Hector Corrada Bravo [ctb],
Robert Gentleman [ctb],
Jan Gleixner [ctb],
Peter Hickey [ctb],
Ola Hossjer [ctb],
Harris Jaffee [ctb],
Dongcan Jiang [ctb],
Peter Langfelder [ctb],
Brian Montgomery [ctb],
Angelina Panagopoulou [ctb],
Hugh Parsonage [ctb],
Jakob Peder Pettersen [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Description: High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized. There are also optimized vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().
License: Artistic-2.0
LazyLoad: TRUE
NeedsCompilation: yes
ByteCompile: TRUE
URL: https://github.com/HenrikBengtsson/matrixStats
BugReports: https://github.com/HenrikBengtsson/matrixStats/issues
RoxygenNote: 7.3.2
Packaged: 2025-01-07 17:25:20 UTC; henrik
Repository: CRAN
Date/Publication: 2025-01-07 19:50:02 UTC
Built: R 4.4.2; x86_64-w64-mingw32; 2025-01-09 00:51:25 UTC; windows
Archs: x64