Modified items

All recently modified items, latest first.

openblas-openmp64-0.3.1-2.lbn25.x86_64: OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version. The project is supported by the Lab of Parallel Software and Computational Science, ISCAS. http://www.rdcps.ac.cn This package contains the library compiled with OpenMP support and 64-bit integer interface.

openblas-openmp-0.3.1-2.lbn25.x86_64: OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version. The project is supported by the Lab of Parallel Software and Computational Science, ISCAS. http://www.rdcps.ac.cn This package contains the library compiled with OpenMP support with 32-bit integer interface.

openblas-Rblas-0.3.1-2.lbn25.x86_64: OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version. The project is supported by the Lab of Parallel Software and Computational Science, ISCAS. http://www.rdcps.ac.cn

openblas-0.3.1-2.lbn25.x86_64: OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version. The project is supported by the Lab of Parallel Software and Computational Science, ISCAS. http://www.rdcps.ac.cn

libRmath-3.6.0-1.lbn25.x86_64: A standalone library of mathematical and statistical functions derived from the R project. This package provides the shared libRmath library.

python3-pydotplus-2.0.2-6.lbn25.py37.noarch: PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. Python 3 version.

R-java-3.6.0-1.lbn25.x86_64: A language and environment for statistical computing and graphics. R is similar to the award-winning S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...). R is designed as a true computer language with control-flow constructions for iteration and alternation, and it allows users to add additional functionality by defining new functions. For computationally intensive tasks, C, C++ and Fortran code can be linked and called at run time. This package also has an additional dependency on java, as provided by Fedora's openJDK.

R-core-3.6.0-1.lbn25.x86_64: A language and environment for statistical computing and graphics. R is similar to the award-winning S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...). R is designed as a true computer language with control-flow constructions for iteration and alternation, and it allows users to add additional functionality by defining new functions. For computationally intensive tasks, C, C++ and Fortran code can be linked and called at run time.

R-3.6.0-1.lbn25.x86_64: This is a metapackage that provides both core R userspace and all R development components. R is a language and environment for statistical computing and graphics. R is similar to the award-winning S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...). R is designed as a true computer language with control-flow constructions for iteration and alternation, and it allows users to add additional functionality by defining new functions. For computationally intensive tasks, C, C++ and Fortran code can be linked and called at run time.

R-widgetTools-1.42.0-5.lbn25.noarch: This package contains tools to support the construction of tcltk widgets. This library is part of the bioconductor (bioconductor.org) project

R-tkWidgets-1.42.0-5.lbn25.noarch: Widgets to provide user interfaces. tcltk should have been installed for the widgets to run. This package is a part of the bioconductor (bioconductor.org) project

R-timeDate-3010.98-7.lbn25.noarch: Environment for teaching Financial Engineering and Computational Finance.

R-systemfit-1.1.15-10.lbn25.noarch: This R package contains functions for fitting simultaneous systems of linear and nonlinear equations using Ordinary Least Squares (OLS), Weighted Least Squares (WLS), Seemingly Unrelated Regressions (SUR), Two-Stage Least Squares (2SLS), Weighted Two-Stage Least Squares (W2SLS), Three-Stage Least Squares (3SLS), and Weighted Three-Stage Least Squares (W3SLS).

R-sciplot-1.1.0-10.lbn25.noarch: A collection of functions that creates graphs with error bars for data collected from one-way or higher factorial designs

R-sandwich-2.3.0-6.lbn25.noarch: Model-robust standard error estimators for cross-sectional, time series and longitudinal data.

R-qvalue-1.38.0-5.lbn25.noarch: It takes a list of p-values resulting from the simultaneous testing of many hypotheses and estimates their q-values. The q-value of a test measures the proportion of false positives incurred (called the false discovery rate) when that particular test is called significant. Various plots are automatically generated, allowing one to make sensible significance cut-offs. Several mathematical results have recently been shown on the conservative accuracy of the estimated q-values from this software. The software can be applied to problems in genomics, brain imaging, astrophysics, and data mining. This package is a part of the Bioconductor (bioconductor.org) project.

R-qcc-2.2-12.lbn25.noarch: An R package for quality control charting and statistical process control. The qcc package for the R statistical environment provides: - Plot Shewhart quality control charts - Plot Cusum and EMWA charts for continuous data - Draw operating characteristic curves - Perform process capability analysis - Draw Pareto charts and cause-and-effect diagrams

R-praise-1.0.0-5.lbn25.noarch: Build friendly R packages that praise their users if they have done something good, or they just need it to feel better.


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