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,
and programmer friendly through a flexible and parsimonious syntax.
It is well integrated with base R, 'dplyr' / (grouped) 'tibble',
'data.table', 'sf', 'plm' (panel-series and data frames), and
non-destructively handles other matrix or data frame based classes (like
'ts', 'xts' / 'zoo', 'tsibble', ...)
— Key Features: —
(1) Advanced statistical programming: A full set of fast statistical functions
supporting grouped and weighted computations on vectors, matrices and
data frames. Fast and programmable grouping, ordering, unique values/rows,
factor generation and interactions. Fast and flexible functions for data
manipulation, data object conversions, and memory efficient R programming.
(2) Advanced aggregation: Fast and easy multi-data-type, multi-function, weighted
and parallelized data aggregation.
(3) Advanced transformations: Fast row/column arithmetic, (grouped) replacing
and sweeping out of statistics (by reference), (grouped, weighted) scaling/standardizing,
(higher-dimensional) between (averaging) and (quasi-)within (demeaning) transformations,
linear prediction, model fitting and testing exclusion restrictions.
(4) Advanced time-computations: Fast and flexible indexed time series and panel data classes.
Fast (sequences of) lags/leads, and (lagged/leaded, iterated, quasi-, log-)
differences and (compounded) growth rates on (irregular) time series and panels.
Multivariate auto-, partial- and cross-correlation functions for panel data.
Panel data to (ts-)array conversions.
(5) List processing: Recursive list search, splitting,
extraction/subsetting, apply, and generalized row-binding / unlisting to data frame.
(6) Advanced data exploration: Fast (grouped, weighted, panel-decomposed)
summary statistics and descriptive tools.
| Version: |
1.8.8 |
| Depends: |
R (≥ 3.3.0) |
| Imports: |
Rcpp (≥ 1.0.1) |
| LinkingTo: |
Rcpp |
| Suggests: |
fastverse, data.table, magrittr, kit, xts, zoo, plm, fixest, vars, RcppArmadillo, RcppEigen, tibble, dplyr, ggplot2, scales, microbenchmark, testthat, covr, knitr, rmarkdown |
| Published: |
2022-08-15 |
| Author: |
Sebastian Krantz [aut, cre],
Matt Dowle [ctb],
Arun Srinivasan [ctb],
Morgan Jacob [ctb],
Dirk Eddelbuettel [ctb],
Laurent Berge [ctb],
Kevin Tappe [ctb],
R Core Team and contributors worldwide [ctb],
Martyn Plummer [cph],
1999-2016 The R Core Team [cph] |
| Maintainer: |
Sebastian Krantz <sebastian.krantz at graduateinstitute.ch> |
| BugReports: |
https://github.com/SebKrantz/collapse/issues |
| License: |
GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE] |
| URL: |
https://sebkrantz.github.io/collapse/,
https://github.com/SebKrantz/collapse,
https://twitter.com/collapse_R |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++11 |
| Materials: |
NEWS |
| In views: |
Econometrics, OfficialStatistics, TimeSeries |
| CRAN checks: |
collapse results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=collapse
to link to this page.