R-collapse
Port variant standard
Summary Advanced and Fast Data Transformation
Package version 2.0.12
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 02 APR 2024, 23:04:22 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', '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
671477422b98259e1c7f7794134b9d170b31758217e23c3fe04e614aa476f436 1401107 CRAN/collapse_2.0.12.tar.gz
Ports that require R-collapse:standard
R-plm:standard Linear Models for Panel Data