Package: collapse
Title: Advanced and Fast Data Transformation
Version: 1.8.4
Authors@R: c(
person("Sebastian", "Krantz", role = c("aut", "cre"),
email = "sebastian.krantz@graduateinstitute.ch"),
person("Matt", "Dowle", role = "ctb"),
person("Arun", "Srinivasan", role = "ctb"),
person("Morgan", "Jacob", role = "ctb"),
person("Dirk", "Eddelbuettel", role = "ctb"),
person("Laurent", "Berge", role = "ctb"),
person("Kevin", "Tappe", role = "ctb"),
person("R Core Team and contributors worldwide", role = "ctb"),
person("Martyn", "Plummer", role = "cph"),
person("1999-2016 The R Core Team", role = "cph")
)
Description: 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.
URL: https://sebkrantz.github.io/collapse/,
https://github.com/SebKrantz/collapse,
https://twitter.com/collapse_R
BugReports: https://github.com/SebKrantz/collapse/issues
License: GPL (>= 2) | file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0)
Imports: Rcpp (>= 1.0.1)
LinkingTo: Rcpp
Suggests: fastverse, data.table, magrittr, kit, sf, xts, zoo, plm,
fixest, vars, RcppArmadillo, RcppEigen, tibble, dplyr, ggplot2,
scales, microbenchmark, testthat, covr, knitr, rmarkdown
SystemRequirements: C++11
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-06-08 12:07:01 UTC; sebastiankrantz
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@graduateinstitute.ch>
Repository: CRAN
Date/Publication: 2022-06-08 15:10:02 UTC