Ubuntu
r-cran-collapse package

r-cran-collapse 1.9.6-1 source package in Ubuntu

Changelog

r-cran-collapse (1.9.6-1) unstable; urgency=medium

  * New upstream version
  * lintian-overrides (see lintian bug #1017966)

 -- Andreas Tille <email address hidden>  Mon, 12 Jun 2023 16:03:48 +0200

Upload details

Uploaded by:
Debian R Packages Maintainers
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Mantic release universe misc

Downloads

File Size SHA-256 Checksum
r-cran-collapse_1.9.6-1.dsc 2.0 KiB 1ff95a6a6aac89a6c2ae029032ef37389504882a37cc923b2d852e3e38a1ab38
r-cran-collapse_1.9.6.orig.tar.gz 1.3 MiB 2f835472e331ce5d21e0547e68c7fde14ace6d71d104b7cd21ff823eadafb51e
r-cran-collapse_1.9.6-1.debian.tar.xz 3.8 KiB e44f499ab1a52d5694410838fe9b80ab61591c1cef12c83db1dbb1939ff03508

Available diffs

No changes file available.

Binary packages built by this source

r-cran-collapse: GNU R advanced and fast data transformation

 A C/C++ based package for advanced data transformation and statistical
 computing in R that is extremely fast, flexible and parsimonious to code
 with, class-agnostic and programmer friendly. It is well integrated with
 base R, 'dplyr' / (grouped) 'tibble', 'data.table', 'plm' (panel-series
 and data frames), 'sf' data frames, and non-destructively handles other
 matrix or data frame based classes (such as 'ts', 'xts' / 'zoo',
 'timeSeries', 'tsibble', 'tibbletime' etc.) --- 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 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 row / column arithmetic, (grouped)
     replacing and sweeping out of statistics, (grouped, weighted)
     scaling / standardizing, between (averaging) and (quasi-)within
     (centering / demeaning) transformations, higher-dimensional
     centering (i.e. multiple fixed effects transformations), linear
     prediction / partialling-out, linear model fitting and testing.
 (4) Advanced time-computations: Fast (sequences of) lags / leads, and
     (lagged / leaded, iterated, quasi-, log-) differences, (compounded)
     growth rates, and cumulative sums on (unordered, irregular) 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,
     splitting, extraction / subsetting, data-apply, and generalized
     recursive row-binding / unlisting in 2D.
 (6) Advanced data exploration: Fast (grouped, weighted, panel-
     decomposed) summary statistics for complex multilevel / panel data.

r-cran-collapse-dbgsym: debug symbols for r-cran-collapse