Package: collapse
Title: Advanced and Fast Data Transformation
Version: 1.8.6
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: 2022-06-13 12:00:37 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: 2022-06-14 07:10:02 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-06-14 12:20:57 UTC; windows
Archs: x64
