r-cran-collapse 2.0.13-1 source package in Ubuntu
Changelog
r-cran-collapse (2.0.13-1) unstable; urgency=medium * New upstream version * Standards-Version: 4.7.0 (routine-update) -- Andreas Tille <email address hidden> Sun, 12 May 2024 07:02:17 +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 | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
r-cran-collapse_2.0.13-1.dsc | 2.3 KiB | aaa81b534aa12a5f274680df75a47b1c2b1b6935ef5274ac49b1d8cd3203a811 |
r-cran-collapse_2.0.13.orig.tar.gz | 1.3 MiB | e5737c8e1660e5ae22e109d6ca3d461b0dadf08e6891d0a0cde5bac412ff2186 |
r-cran-collapse_2.0.13-1.debian.tar.xz | 4.6 KiB | 92a76ba52921a3a03e44f8189e98980c7b8255e75dac30132a319ac67ee7301f |
Available diffs
- diff from 2.0.10-1 to 2.0.13-1 (59.9 KiB)
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