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7 projects in result set.
0. refnet - Bibliometric Tools for R - This package and its tools are currently designed to read, analyze and visualize Thomson-Reuters Web of Knowledge/Science, ISI and SCOPUS format reference data files. Social network analyses, geocoding of addresses and spatial visualization are supported. |
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Registered: 2013-06-03 18:44 |
1. Word lists for psychology experiments - This package collects several classical word pools used
most often to provide lists of words in psychological
studies of learning and memory. |
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Registered: 2012-11-27 19:49 |
2. RMVL - Mappable vector library provides convenient way to access large datasets on solid state drives. This bypasses limitation of physical memory size as well as limited bandwidth of database interfaces. Memory mapped data can be shared between multiple R processes. Access speed depends on storage medium, so solid state drive is recommended, preferably with PCI Express (or M.2 nvme) interface. The data is memory mapped into R and then accessed using usual R list and array subscription operators. The layout of underlying MVL files is optimized for large datasets. The vectors are stored to guarantee alignment for vector intrinsics after memory map. The package is built on top of libMVL, which can be used as standalone C library. libMVL has simple C API making it easy to interchange of datasets with outside programs. |
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Registered: 2021-08-19 02:16 |
3. aroma.* packages [MOVED TO GITHUB] - This repository and all of its packages have been moved to https://github.com/HenrikBengtsson/ |
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Registered: 2009-05-19 20:01 |
4. Bertin matrices - Matrix manipulation and display, following the proposals of J. Bertin.
Bertin’s permutation matrices give simple and effective tools for the graphical analysis of data matrices or tables. |
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Registered: 2007-11-29 20:50 |
5. rmodest - Rmodest is a package that will allow you to easily fit mortality functions to your survival data, and to test hypotheses about your data. |
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Registered: 2008-04-24 04:24 |
6. QuACN - This package includes methods for the analysis of complex networks. To characterize complex networks structurally we implemented topological measures for graphs. It includes information and non-information theoretic network measures. |
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Registered: 2010-05-18 12:37 |