Monthly Archives: December 2006

GNU Octave is a high-level language, primarily intended for numerical computations. It provides a convenient command line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with Matlab. … Continue reading →

Complex Surveys often require analysis techniques based on what is known as “Design Based” methods. This is a special branch of Statistics concerned with finite populations and complex survey designs with supporting estimation methods. Options to address this area of … Continue reading →

SuperLU contains a set of subroutines to solve a sparse linear system A*X=B. This is often at the heart of many research computing tasks in science, engineering, statistical software. It uses Gaussian elimination with partial pivoting (GEPP). The columns of … Continue reading →

CAGED is a unique Bayesian statistical tool for gene expression profiles that uses a time series approach to clustering. Markov models are used for within sequence representation and similiarity measures, such as entropy-based distances, are available for between gene sequence … Continue reading →

MCMCGLMM is a C based program for the fitting of Generalized Linear Models via Monte Carlo Markov Chain sampling. Powered-Exponential and Matern spatial covariance functions are available to capture spatial effects, and right and left censoring is available for Guassian … Continue reading →

Morgan is a set of statistical tools for genetic Pedigree Analysis on observed data with possible epidemiological attributes. Utilities are available for addressing issues about pedigree structure, kinship and inbreeding coefficients, Monte Carlo and MCMC techniques for simulation of marker … Continue reading →

Radford Neal has contributed much over the years to Bayesian regression and classification theory and the areas of neural networks and machine learning. His FBM C based software routines provide modern methods in these areas and more. This software supports … Continue reading →

University of Maryland Computer Science Dept. has developed two free graphical exploration tools for discovery of structure in multiple timeseries. Linkage, zooming, timebox queries, leaders, laggers and other capabilities are some of the features used in exploring structure in series. … Continue reading →

SatScan is a free software tool that analyzes spatial, temporal and space-time data using the spatial, temporal, or space-time scan statistics. The software may be useful in any area for which clustering in time and/or space needs to be identified. … Continue reading →

SABRE is a program created by the Center for Applied Statistics, Lancaster University, for the statistical analysis of multi-process random effect bivariate and trivariate response data. These responses can take the form of binary, ordinal, count and linear recurrent events … Continue reading →