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gputools (version 0.1-1)

A few GPU enabled functions

Description

This package provides R interfaces to a handful of common statistical algorithms. These algorithms are implemented in parallel using a mixture of nVidia's CUDA langauge and CUBLAS library. On a computer equiped with an nVidia GPU some of these functions may be substantially more efficient than native R routines.

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Version

Install

install.packages('gputools')

Monthly Downloads

26

Version

0.1-1

License

GPL-3

Maintainer

Josh Buckner

Last Published

June 25th, 2009

Functions in gputools (0.1-1)

gpuSolve

Estimate the solution to a matrix vector equation
gpuSvmTrain

Train a support vector machine on a dataset
gpuQr

Estimate the QR decomposition for a matrix
gpuDistClust

Compute Distances and Hierarchical Clustering for Vectors on a GPU
gpuMi

B spline based mutual information
gpuHclust

Perform Hierarchical Clustering for Vectors with a GPU
gpuTtest

T-Test Estimator with a GPU
gpuGranger

Perform Granger Causality Tests for Vectors on a GPU
gpuMatMult

Perform Matrix Multiplication with a GPU
gpuDist

Compute Distances Between Vectors on a GPU
getAucEstimate

Estimate the AUC of the ROC
gpuCor

Calculate Various Correlation Coefficients With a GPU
gpuLr

A Toy Logistic Regression Routine
gpuSvmPredict

A support vector machine style binary classifier