r-cran-mitml
GNU R tools for multiple imputation in multilevel modeling
Provides tools for multiple imputation of missing data in multilevel
modeling. Includes a user-friendly interface to the packages 'pan' and 'jomo',
and several functions for visualization, data management and the analysis
of multiply imputed data sets.
gccgo-8-mipsisa32r6el-linux-gnu
GNU Go compiler
r-cran-ggforce
accelerating GNU R ggplot2
The aim of 'ggplot2' is to aid in visual data investigations. This
focus has led to a lack of facilities for composing specialised plots.
'ggforce' aims to be a collection of mainly new stats and geoms that fills
this gap. All additional functionality is aimed to come through the official
extension system so using 'ggforce' should be a stable experience.
python3-pyside2
Python bindings for Qt5 (Python 3 metapackage)
libgcab-tests
Microsoft Cabinet file manipulation library - as-installed tests
libgcab provides functions to manipulate cabinet (.cab) files,
both for reading and writing their contents.
r-cran-rsvd
Randomized Singular Value Decomposition
Low-rank matrix decompositions are fundamental tools and widely used for
data analysis, dimension reduction, and data compression. Classically,
highly accurate deterministic matrix algorithms are used for this task.
However, the emergence of large-scale data has severely challenged our
computational ability to analyze big data. The concept of randomness has
been demonstrated as an effective strategy to quickly produce
approximate answers to familiar problems such as the singular value
decomposition (SVD). The rsvd package provides several randomized matrix
algorithms such as the randomized singular value decomposition (rsvd),
randomized principal component analysis (rpca), randomized robust
principal component analysis (rrpca), randomized interpolative
decomposition (rid), and the randomized CUR decomposition (rcur). In
addition several plot functions are provided. The methods are discussed
in detail by Erichson et al. (2016) <arXiv:1608.02148>.