R-collapse
Port variant std
Summary Advanced and Fast Data Transformation
Package version 2.1.2
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 28 MAY 2025, 21:42:51 UTC
Port created 23 FEB 2022, 02:10:24 UTC
Subpackage Descriptions
single collapse: Advanced and Fast Data Transformation A large 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, fast functions for data transformation and 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 seamlessly supports base R objects/classes as well as 'units', 'integer64', 'xts'/ 'zoo', 'tibble', 'grouped_df', 'data.table', 'sf', and 'pseries'/'pdata.frame'.
Configuration Switches (platform-specific settings discarded)
This port has no build options.
Package Dependencies by Type
Build (only) gmake:primary:std
R:primary:std
icu:dev:std
Build and Runtime R-Rcpp:single:std
Runtime (only) R:primary:std
R:nls:std
Download groups
main mirror://CRAN/src/contrib
https://loki.dragonflybsd.org/cranfiles/
Distribution File Information
38620139595ffaaf253be429532ffd8cf2f2d9617a4ff981a4da0ff89fc1ce61 1468574 CRAN/collapse_2.1.2.tar.gz
Ports that require R-collapse:std
R-plm:std Linear Models for Panel Data