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9 projects in result set.
0. CoreArray - The package provides a high-level R interface to CoreArray Genomic Data Structure (GDS) data files, which are portable across platforms and include hierarchical structure to store multiple scalable array-oriented data sets with metadata information.
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Registered: 2014-05-31 04:36 |
1. CellMix - Resources for performing gene expression deconvolution in R, i.e. estimating cell proportions and/or cell-specific gene expression from global gene expression measured in heterogeneous samples.
Currently hosted packages: csSAM and CellMix packages.
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Registered: 2013-04-11 08:27 |
2. CITAN - CITAN is a library of functions useful in - but not limited to - quantitative research in the field of scientometrics.
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Registered: 2011-04-24 10:39 |
3. RFLPtools - RFLPtools provides functions to analyse DNA fragment samples (i.e. derived from RFLP-analysis) and standalone BLAST report files (i.e. DNA sequence analysis).
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Registered: 2010-02-24 09:24 |
4. Boost C++ Template Library Project - Boost provides free peer-reviewed portable C++ source libraries implemented mostly as templates. We place a subset of them in this package as a more efficient distribution system for CRAN.
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Registered: 2012-09-02 22:26 |
5. A R/C++ Template Library - A template library for R/C++ developers.
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Registered: 2008-07-28 22:29 |
6. distr - S4 classes for distributions - Project distr currently hosts pkg's distr, distrEx, distrSim, distrTEst, distrTeach, distrMod, distrDoc, startupmsg, SweaveListingUtils, distrEllipse, distrRnews, setRNG. For reference, see also vignette "distr" in pkg distrDoc.
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- Topic : Robust Statistics [Filter]
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Registered: 2007-11-06 19:55 |
7. SMfSB - R code associated with the second and third editions of the book Stochastic Modelling for Systems Biology, by Darren J Wilkinson, published by Chapman & Hall/CRC Press.
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- Topic : Bayesian Statistics : Specific Model Fitting [Filter]
- Topic : Bioinformatics : Statistics [Filter]
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Registered: 2011-02-18 14:08 |
8. 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 |
