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Output analysis and diagnostics for MCMC
R-cran-coda is a R module for output analysis and diagnostics for
Markov Chain Monte Carlo simulations.
Inline C, C++, Fortran function calls from R
R-cran-inline is a functionality to dynamically define R functions
and S4 methods with in-lined C, C++ or Fortran code supporting .C
and .Call calling conventions.
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.
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
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.
General Polygon Clipping Library for R
R-cran-gpclib is a general polygon clipping routines for
R based on Alan Murta's C library.
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.
Arrange grobs in tables
Tools to make it easier to work with "tables" of grobs.
R implementation of an algorithm for non-negative least squares
An R interface to the Lawson-Hanson implementation of an algorithm for
non-negative least squares (NNLS). Also allows the combination of non-negative
and non-positive constraints.
Interpreter for big integer/multi-precision floating point arithmetic
ARIBAS is an interactive interpreter for big integer arithmetic and
multi-precision floating point arithmetic with a Pascal/Modula like
syntax. It has several builtin functions for algorithmic number
theory like gcd, Jacobi symbol, Rabin probabilistic prime test,
continued fraction and quadratic sieve factorization, Pollard rho
factorization, etc.