Ports Search

Results 191200 of 792 for /math/.(0.003 seconds)
math/gtable-0.2.0 (Score: 0.10508093)
Arrange grobs in tables
Tools to make it easier to work with "tables" of grobs.
math/igraph-1.0.1 (Score: 0.10508093)
Network Analysis and Visualization
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.
math/influenceR-0.1.0 (Score: 0.10508093)
Software Tools to Quantify Structural Importance of Nodes in a Network
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.
math/zarith-1.2.1 (Score: 0.10508093)
OCaml arithmetic library for arbitrary precision integers
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.
math/octave-forge-io-2.4.3 (Score: 0.10508093)
Octave-forge package io
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.
math/lme4-1.1.12 (Score: 0.10508093)
Linear mixed-effects models using Eigen and S4
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".
math/lazyeval-0.2.0 (Score: 0.10508093)
Disciplined approach to non-standard evaluation
A disciplined approach to non-standard evaluation.
math/maxLik-1.3.4 (Score: 0.10508093)
Maximum Likelihood Estimation and Related Tools
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.
math/mcmc-0.9.4 (Score: 0.10508093)
Markov Chain Monte Carlo
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.
math/abs-0908 (Score: 0.10508093)
Free spreadsheet with graphical user interface
Abs is a free spreadsheet with graphical user interface. It has a programming language with the same syntax as Microsoft Visual Basic.