Other broad-scope statistical
Well-respected library of public domain statistical
software, from Carnegie Mellon University.
Collection of public domain libraries including BLAS,
LAPACK, LINPACK. MINPACK, MUDPACK, SLATEC, TOMS, and others. A service
of the Fortran Market. For example, SLATEC is a large mathematics
library (about 900 modules) including random
number generators, weighted spline and piecewise polynomial fitting,
nonlinear least squares fitting.
NIST Core Math Library collection of subroutine libraries
including BLAS, EISPACK, FISHPAK, FNLIB, FFTPACK, LINPACK and QUASPACK.
Contains about 750 modules. Includes k-means and hierarchical cluster
analyses, spine and piecewise polynomial fits, fast Fourier transforms,
nonlinear weighted orthogonal distance regression, multivariate
historgrams, maximum-likelihood mixture models, bivariate linear
regression with measurement errors, and random number generators.
Large subroutine library (about 170 modules) for
density distributions, line-printer plots (histograms, scatter),
general statistical analysis, time series analysis, polynomial
regression. From the National Institute of Standards & Technology.
The GSL is a large software system written in C/C++ which
includes a variety of statistical capabiliities: random deviates
from statistical distributions; Fourier wavelet and Hankel transforms;
basic statistics; density estimation (histograms, interpolation);
linear and non-linear fitting.
Software package for the manipulation and statistical
data including multivariate analysis and graphical displays for
multidimensional tables. From UNESCO.
Open source scientific software package with toolboxes in
graphics & animation, linear algebra, ODE solver, signal processing
& dynamical systems, optimization, graphs, introductory
statistics, and more. From INRIA (France).
Annotated metasite with informative background on Python,
object-oriented programming language, and developments in Python for
scientific, numerical and statistical computing. By Thomas Loredo,
An interactive environment for the multivariate
gamma-ray burst data from NASA's BATSE experiment. Includes
decision trees, Naive Bayes, K*-means using EM Algorithm, COBWEB,
backpropagation neutral networks, Kohonen neutral networks. Based
on the Weka machine learning package. From Jon Hakkila &
colleagues at College of Charleston.
environment for data analysis, statistical instruction and research
with an emphasis on dynamic graphical methods. Extensible in the
Lisp language. From L. Tierney, University of Minnesota.
Package oriented towards the social sciences, provides
correlations, ANOVA, linear modeling, nonparametric analysis,
neural networks, and simulations. Written in C++ with
accompanying free textbook by W. G. Miller (2004).
Smith's Statistical Package in a spread-sheet menu
Includes elementary graphics, permutations and simulations, ANOVA,
linear regression, and nonparametric runs test.
Econometrics package for Windows including: variable
transformations, kernel density estimation, time series analysis
(cross-correlation, stationarity tests, ARIMA & GARCH modeling),
linear regression models (Poisson regression, Tobit, 2-stage least
squares, user-supplied nonlinear), and more by H. Bierens (Penn State).
UNIX utilities for numerical analysis and graphics
animation, rotations, Fourier transforms, data filtering. From
the Laboratory of Atomic and Solid State Physics at Cornell University.