1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
|
Source: r-cran-collapse
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders: Andreas Tille <tille@debian.org>
Section: gnu-r
Testsuite: autopkgtest-pkg-r
Priority: optional
Build-Depends: debhelper-compat (= 13),
dh-r,
r-base-dev,
r-cran-rcpp
Standards-Version: 4.7.2
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-collapse
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-collapse.git
Homepage: https://cran.r-project.org/package=collapse
Rules-Requires-Root: no
Package: r-cran-collapse
Architecture: any
Depends: ${R:Depends},
${shlibs:Depends},
${misc:Depends}
Recommends: ${R:Recommends}
Suggests: ${R:Suggests}
Description: 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.
|
