Tools to make it easier to work with "tables" of grobs.
Routines for simple graphs and network analysis. It can handle large
graphs very well and provides functions for generating random and
regular graphs, graph visualization, centrality methods and much
more.
influenceR: Software Tools to Quantify Structural Importance of
Nodes in a Network
Provides functionality to compute various node centrality measures
on networks. Included are functions to compute betweenness centrality
(by utilizing Madduri and Bader's SNAP library), implementations
of Burt's constraint and effective network size (ENS) metrics,
Borgatti's algorithm to identify key players, and Valente's bridging
metric. On Unix systems, the betweenness, Key Players, and bridging
implementations are parallelized with OpenMP, which may run faster
on systems which have OpenMP configured.
The Zarith library implements arithmetic and logical operations over
arbitrary precision numbers. It uses GMP to efficiently implement
arithmetic over large numbers. Small integers are represented as Caml
unboxed integers for speed and space economy.
The octave-forge package is the result of The GNU Octave Repositry project,
which is intended to be a central location for custom scripts, functions and
extensions for GNU Octave. contains the source for all the functions plus
build and install scripts.
This is io.
Input/Output in external formats.
Fit linear and generalized linear mixed-effects models. The models
and their components are represented using S4 classes and methods.
The core computational algorithms are implemented using the Eigen
C++ library for numerical linear algebra and RcppEigen "glue".
A disciplined approach to non-standard evaluation.
Functions for Maximum Likelihood (ML) estimation and non-linear
optimization, and related tools. It includes a unified way to
call different optimizers, and classes and methods to handle the
results from the ML viewpoint. It also includes a number of
convenience tools for testing and developing your own models.
Simulates continuous distributions of random vectors using Markov
chain Monte Carlo (MCMC). Users specify the distribution by an R
function that evaluates the log unnormalized density. Algorithms
are random walk Metropolis algorithm (function metrop), simulated
tempering (function temper), and morphometric random walk Metropolis
(Johnson and Geyer, Annals of Statistics, 2012, function morph.metrop),
which achieves geometric ergodicity by change of variable.
Abs is a free spreadsheet with graphical user interface.
It has a programming language with the same
syntax as Microsoft Visual Basic.