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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'.
- Version2.1.5
- R version4.1.0
- LicenseGPL-2
- LicenseGPL-3
- LicenseLICENSE
- Needs compilation?Yes
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- Last releaseyesterday at 12:00 AM
Documentation
Team
Sebastian Krantz
MaintainerShow author detailsLaurent Berge
Show author detailsRolesContributorR Core Team and contributors worldwide
Show author detailsRolesContributor1999-2016 The R Core Team
Show author detailsRolesCopyright holderKevin Tappe
Show author detailsRolesContributorAlina Cherkas
Show author detailsRolesContributorMatt Dowle
Show author detailsRolesContributorDirk Eddelbuettel
Show author detailsRolesContributorMartyn Plummer
Show author detailsRolesCopyright holderMorgan Jacob
Show author detailsRolesContributorArun Srinivasan
Show author detailsRolesContributor
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Dependencies
- Imports1 package
- Suggests22 packages
- Linking To1 package
- Reverse Imports31 packages
- Reverse Suggests12 packages