Package: collapse
Title: Advanced and Fast Data Transformation
Version: 1.2.1
Date: 2020-05-22
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("Simen", "Gaure", role = "ctb"),
           person("Dirk", "Eddelbuettel", 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")
           )
BugReports: https://github.com/SebKrantz/collapse/issues
Description: A C/C++ based package for advanced data transformation in R that is 
    extremely fast, flexible and parsimonious to code with and programmer 
    friendly. It is well integrated with 'dplyr', 'plm' and 'data.table'.
    --- Key Features: ---
    (1) Advanced data programming: A full set of fast statistical functions 
        supporting grouped and weighted computations on vectors, matrices and 
        data frames. Fast (ordered) and programmable grouping, factor 
        generation, manipulation of data frames and data object conversions.
    (2) Advanced aggregation: Fast and easy multi-data-type, multi-function, 
        weighted, parallelized and fully customized data aggregation.
    (3) Advanced transformations: Fast (grouped, weighted) replacing and 
        sweeping out of statistics, scaling / standardizing, centering (i.e. 
        between and within transformations), higher-dimensional centering 
        (i.e. multiple fixed effects transformations), linear 
        prediction and partialling-out.
    (4) Advanced time-computations: Fast (sequences of) lags / leads, and 
        (lagged / leaded, iterated, quasi-, log-) differences and growth 
        rates on (unordered) time-series and panel data. Multivariate auto, 
        partial and cross-correlation functions for panel data. 
        Panel data to (ts-)array conversions.
    (5) List processing: (Recursive) list search / identification, extraction / 
        subsetting, data-apply, and generalized row-binding / unlisting in 2D.
    (6) Advanced data exploration: Fast (grouped, weighted, panel-decomposed) 
        summary statistics for complex multilevel / panel data.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.1), lfe (>= 2.7)
LinkingTo: Rcpp
Suggests: dplyr, plm, data.table, ggplot2, scales, vars, knitr,
        rmarkdown, testthat, microbenchmark
SystemRequirements: C++11
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-05-22 10:41:31 UTC; Sebastian Krantz
Author: Sebastian Krantz [aut, cre],
  Matt Dowle [ctb],
  Arun Srinivasan [ctb],
  Simen Gaure [ctb],
  Dirk Eddelbuettel [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: 2020-05-26 22:10:10 UTC
Built: R 3.6.3; x86_64-w64-mingw32; 2020-08-05 03:23:17 UTC; windows
Archs: i386, x64
