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.
A fast, consistent tool for working with data frame like
objects, both in memory and out of memory.
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).
R-cran-mvtnorm computes multivariate normal and t probabilities, quantiles,
random deviates and densities.
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.
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
Multiple Precision Arithmetic (big integers and rationals, prime
number tests, matrix computation), "arithmetic without limitations"
using the C library GMP (GNU Multiple Precision Arithmetic).
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.
R-cran-gpclib is a general polygon clipping routines for
R based on Alan Murta's C library.
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.