Search Results for "tools"

...lang=en. Read a full description at the TEI Tools wiki http://wiki.tei-c.org/index.php/TXM.

...Solutions and performed computations can be displayed graphically. Besides, there is a framework for generating test instances and running these in parallel, as well as R/JGR code for statistical evaluation. Some tools for estimating the quality of calculated solutions will be further improved. Initially the software was developed within a project of TU Berlin regarding the Kiel Canal. See project wiki for conditions that should be met by applications.

Corbata is a set of statistical tools that can be used to analyze the core microbiome across a set of samples.

...RKWard aims to provide an easily extensible, easy to use IDE/GUI for R. RKWard tries to combine the power of the R-language with the (relative) ease of use of commercial statistics tools.

R-gregmisc is a set of extension package for the open-source statistical environment/language "R''. It includes functions for plotting (gplots), data manupulation (gdata), modeling (gmodels), and programming tools (gtools), creation and management of sub-processes (fork), determing sample sizes for -omics experiments (ssize), and a variety of other packages.

...Also included are numerous built-in data sets from regulatory guidance documents and the environmental statistics literature. EnvStats combined with other R packages (e.g., for spatial analysis) provides the environmental scientist, statistician, researcher, and technician with tools to “get the job done!”

Tools to analyse and use passport data for biological collections.

You may also like some newer work: http://createdatasol.com/ Project imDEV is an application of RExcel, which seamlessly integrates Excel and R for tasks focused on multivariate data visualization, exploration, and analysis. Interactive modules for dimensional reduction (imPCA), prediction (imPLS), feature selection, analysis of correlation (imCorrelations) and generation of networked structures (imGraph) provide an integrated environment for systems level analysis of multivariate data.

Structlab is a machine learning C++ framework for structured domains, which provides a toolbox of learning methods and tools for preprocessing and visualization. It also provides a GUI to setup elaborate experiments in a visual and intuitive way.

QRMlib provides a library of methods to investigate Quantitative Risk Management, including Market Risk, Credit Risk and Operational Risk, as developed in the book "Quantitative Risk Management: Concepts, Techniques and Tools".