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math/labeling-0.3 (Score: 0.10508093)
Provides a range of axis labeling algorithms
Implements a number of axis labeling schemes, including those compared in An Extension of Wilkinson's Algorithm for Positioning Tick Labels on Axes by Talbot, Lin, and Hanrahan, InfoVis 2010.
math/dplyr-0.5.0 (Score: 0.10508093)
Grammar of Data Manipulation
A fast, consistent tool for working with data frame like objects, both in memory and out of memory.
math/mpfr-3.1.5 (Score: 0.10508093)
Library for multiple-precision floating-point computations
The MPFR library is a C library for multiple-precision floating-point computations with exact rounding (also called correct rounding). It is based on the GMP multiple-precision library. The main goal of MPFR is to provide a library for multiple-precision floating-point computation which is both efficient and has a well-defined semantics. It copies the good ideas from the ANSI/IEEE-754 standard for double-precision floating-point arithmetic (53-bit mantissa).
math/mvtnorm-0.9.96 (Score: 0.10508093)
Multivariate Normal and t Distributions
R-cran-mvtnorm computes multivariate normal and t probabilities, quantiles, random deviates and densities.
math/librsb-1.2.0r4 (Score: 0.10508093)
Sparse matrix library
librsb is a library for sparse matrix computations featuring the Recursive Sparse Blocks (RSB) matrix format. This format allows cache efficient and multi-threaded (that is, shared memory parallel) operations on large sparse matrices. The most common operations necessary to iterative solvers are available, e.g.: matrix-vector multiplication, triangular solution, rows/columns scaling, diagonal extraction / setting, blocks extraction, norm computation, formats conversion. The RSB format is especially well suited for symmetric and transposed multiplication variants. Most numerical kernels code is auto generated, and the supported numerical types can be chosen by the user at build time. librsb implements the Sparse BLAS standard, as specified in the BLAS Forum documents.
math/outliers-0.14 (Score: 0.10508093)
Collection of some tests commonly used for identifying outliers
A collection of some tests commonly used for identifying outliers: - Chi-squared test for outlier - Test for outlying or inlying variance - Dixon tests for outlier - Grubbs tests for one or two outliers in data sample - Find value with largest difference from the mean - Critical values and p-values for Cochran outlying variance test - Critical values and p-values for Dixon test - Calculate critical values and p-values for Grubbs test - Interpolate tabularized distribution - Remove the value(s) most differing from the mean - Calculate scores of the sample
math/gmp-0.5.12 (Score: 0.10508093)
Multiple Precision Arithmetic
Multiple Precision Arithmetic (big integers and rationals, prime number tests, matrix computation), "arithmetic without limitations" using the C library GMP (GNU Multiple Precision Arithmetic).
math/quadprog-1.5.5 (Score: 0.10508093)
Functions to solve Quadratic Programming Problems
This routine implements the dual method of Goldfarb and Idnani (1982, 1983) for solving quadratic programming problems of the form min(?dT b + 1/2bT Db) with the constraints AT b >= b0.
math/gpclib-1.5.5 (Score: 0.10508093)
General Polygon Clipping Library for R
R-cran-gpclib is a general polygon clipping routines for R based on Alan Murta's C library.
math/sm-2.2.5.4 (Score: 0.10508093)
Smoothing methods for nonparametric regression and density estimation
R-cran-sm is a R module for smoothing methods for nonparametric regression and density estimation. It is software linked to the book 'Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations' Oxford University Press.