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Other broad-scope statistical
packages
StatLib
Well-respected library of public domain statistical
software, from Carnegie Mellon University.
Fortran
libraries
Collection of public domain libraries including BLAS,
EISPACK,
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.
CMLIB
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.
DATAPAC
Large subroutine library (about 170 modules) for
probability and
density distributions, line-printer plots (histograms, scatter),
general statistical analysis, time series analysis, polynomial
regression. From the National Institute of Standards & Technology.
GNU Scientific
Library
(GSL)
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.
IDAMS
Software package for the manipulation and statistical
analysis of
data including multivariate analysis and graphical displays for
multidimensional tables. From UNESCO.
Scilab
Open source scientific software package with toolboxes in
2D/3D
graphics & animation, linear algebra, ODE solver, signal processing
& dynamical systems, optimization, graphs, introductory
statistics, and more. From INRIA (France).
StatPy
Annotated metasite with informative background on Python,
an
object-oriented programming language, and developments in Python for
scientific, numerical and statistical computing. By Thomas Loredo,
Cornell University.
GRB Tool
Shed
An interactive environment for the multivariate
classification of
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.
XLisp-Stat
Statistical computing
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.
OpenStat4
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).
SSP
Smith's Statistical Package in a spread-sheet menu
format.
Includes elementary graphics, permutations and simulations, ANOVA,
linear regression, and nonparametric runs test.
EasyReg
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).
LASSPTools
UNIX utilities for numerical analysis and graphics
including
animation, rotations, Fourier transforms, data filtering. From
the Laboratory of Atomic and Solid State Physics at Cornell University.
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