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-fields
GNU R tools for spatial data
For curve, surface and function fitting with an emphasis on splines,
spatial data and spatial statistics. The major methods include cubic,
and thin plate splines, Kriging and compact covariances for large data
sets. The splines and Kriging methods are supported by functions that
can determine the smoothing parameter (nugget and sill variance) and
other covariance parameters by cross validation and also by restricted
maximum likelihood. For Kriging there is an easy to use function that
also estimates the correlation scale (range). A major feature is that
any covariance function implemented in R and following a simple fields
format can be used for spatial prediction. There are also many useful
functions for plotting and working with spatial data as images. This
package also contains an implementation of sparse matrix methods for
large spatial data sets.
r-cran-mixtools
GNU R tools for analyzing finite mixture models
The GNU R mixtools package is a collection of R functions for analyzing
finite mixture models. This package is based upon work supported by the
National Science Foundation under Grant No. SES-0518772.
libsnapd-qt6-2-1
Qt snapd library (Qt6 version
snapd-glib is a library to allow GLib based applications access to snapd,
the daemon that controls Snaps.
snapd-glib-tests
GLib snapd library (installed tests)
snapd-glib is a library to allow GLib based applications access to snapd,
the daemon that controls Snaps.
jython-stilts
Starlink Tables Infrastructure Library Tool Set (Jython package)
The STIL Tool Set is a set of command-line tools based on STIL, the
Starlink Tables Infrastructure Library. It deals with the processing
of tabular data; the package has been designed for, but is not
restricted to, astronomical tables such as object catalogues. Some of
the tools are generic and can work with multiple formats (including
FITS, VOTable, CDF, CSV, SQL and ASCII), and others are
specific to the VOTable format. In some ways, STILTS forms the
command-line counterpart of the GUI table analysis tool TOPCAT. The
package is robust, fully documented, and designed for efficiency,
especially with very large datasets.