Ubuntu
r-cran-collapse package

r-cran-collapse 1.9.2-1 source package in Ubuntu

Changelog

r-cran-collapse (1.9.2-1) unstable; urgency=medium

  * New upstream version

 -- Andreas Tille <email address hidden>  Mon, 30 Jan 2023 13:42:07 +0100

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
Lunar release universe misc

Downloads

File Size SHA-256 Checksum
r-cran-collapse_1.9.2-1.dsc 2.0 KiB 91bb64273c1e672a76be1642efa0f235e68f37513aee7fd6b3750dd626d9e8da
r-cran-collapse_1.9.2.orig.tar.gz 1.1 MiB 443e84f523884bb41a6a7ecb3ba0f24c200255ee22fbebd34865266cfe28b838
r-cran-collapse_1.9.2-1.debian.tar.xz 3.7 KiB 071cb90ab30642d974ee27cc1d826111942962f1d64d18bf68f0004e0cefdfd9

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