R-collapse
Port variant standard
Summary Advanced and Fast Data Transformation
BROKEN
Package version 2.0.15
Homepage https://sebkrantz.github.io/collapse/
Keywords cran
Maintainer CRAN Automaton
License Not yet specified
Other variants There are no other variants.
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Last modified 09 JUL 2024, 17:52:53 UTC
Port created 22 FEB 2022, 02:10:24 UTC
Subpackage Descriptions
single collapse: Advanced and Fast Data Transformation A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R. It further includes fast functions for common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with variable labels, attributes, and missing data. It is well integrated with base R classes, 'dplyr'/'tibble', 'data.table', 'sf', 'units', 'plm' (panel-series and data frames), and 'xts'/'zoo'.
Configuration Switches (platform-specific settings discarded)
This port has no build options.
Package Dependencies by Type
Build (only) gmake:primary:standard
R:primary:standard
icu:dev:standard
Build and Runtime R-Rcpp:single:standard
Runtime (only) R:primary:standard
R:nls:standard
Download groups
main mirror://CRAN/src/contrib
https://loki.dragonflybsd.org/cranfiles/
Distribution File Information
5a2c8323fe1f2f36b1c3ec19ff60cd75324ad2b9e31199fd1c5acd067d19eaa6 1506623 CRAN/collapse_2.0.15.tar.gz
Ports that require R-collapse:standard
R-plm:standard Linear Models for Panel Data