Logistic Regression Spss

This program, BayeScan aims at identifying candidate loci under natural selection from genetic data, using differences in allele frequencies between populations. BayeScan is based on the multinomial-Dirichlet model. One of the simplest possible scenarios covered consists of an island model in...

The objective of this project is to make available an open-source version of our Multifactor Dimensionality Reduction (MDR) software. MDR is a nonparametric alternative to logistic regression for detecting and characterizing nonlinear interactions.

Dap is a small statistics and graphics package based on C. The user wishing to perform basic statistical analyses is now freed from learning and using C syntax for straightforward tasks, while retaining access to the C-style graphics and statistics features provided by the original...


Platforms: *nix, C/C++, BSD

The Multiple Regression Forecasting model provides a solid basis for identifying value drivers and forecasting data. While it utilises a range of commonly employed statistical measures to test the validity of the analysis, results are summarized in text for ease of use. Once relationships have...


Platforms: Windows

Regression mAKEr project is a simple modular application for data investigation. This is an application to help user (mathematician) to make regression between series of data, draw grpahics, and export them into various formats by means of common graphics packages (i.e., gnuplot, plotutils). It...


Platforms: *nix

Sagata Multiple Regression software offers the power of a professional regression package with the ease and comfort of a Microsoft Excel interface.Features include:Qualitative/Categorical Factors - often inputs or factors in model fitting are qualitative or categorical in nature, e.g., the type...


Platforms: Windows

The model relies on the theory of strength of least square curve fitting and auto regression techniques. Requirements: - MATLAB 7.5 or higher


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

The non-linear regression problem (univariate or multivariate) is easily posed using a graphical user interface (GUI) that solves the problem using one of the following solvers: - nlinfit: only univariate problems. - lsqnonlin: can deal with multivariate problems (more than one dependent fitting...


Platforms: Matlab

StatsEasy Regression allows you to compute linear equation from simple regression, you get the equation with slope and intercept, it draws the line graph and scatter diagram.


Platforms: Any Browser + Java

The Gaussian Kernel can be changed to any desired kernel. However such a change will not dramatically improve results. This is a variant of ridge regression using the kernel trick (Mercers Theorem).


Platforms: Matlab

The art of fitting a nonlinear regression model often starts with choosing a model form. This submission is an attempt to teach the reader a simple but general paradigm for their models as a sum of fundamental shapes that are then shifted and scaled to fit the data.I've included a bestiary of...


Platforms: Matlab

This function will perform a local regression at the given points. Using the data at hand. You will need to input a spanwidth which will tell the function how many datapoints he will use in the local regression at each evaluation.Example...


Platforms: Matlab

The model relies on the theory of strength of least square curve fitting and auto regression techniques.


Platforms: Matlab

Zeta Test is an integrated test management environment that enables you to perform black-box tests, white-box tests, regression tests or change management tests of software applications. Zeta Test helps you to plan, perform, log, monitor and document the tests, and then to evaluate the test...


Platforms: Windows

HTTPD::Bench::ApacheBench is a Perl API for Apache benchmarking and regression testing. SYNOPSIS use HTTPD::Bench::ApacheBench; my $b = HTTPD::Bench::ApacheBench->new; # global configuration $b->concurrency(5); $b->priority("run_priority"); # add HTTP request sequences (aka: runs) my...


Platforms: *nix

phpautotest is a tool for conducting automated regression tests on PHP-driven Web sites. Variable values as well as HTTP output can be tested. HTTP output is tested using regular expressions.. Get phpautotest at SourceForge.net. Fast, secure and free downloads from the largest Open Source...


Platforms: *nix

SIEGE is an http regression testing and benchmarking utility. It was designed to let web developers measure the performance of their code under duress, to see how it will stand up to load on the internet. Siege project lets the user hit a webserver with a configurable number of concurrent...


Platforms: *nix

CGI::Test is a CGI regression test framework. SYNOPSIS # In some t/script.t regression test, for instance use CGI::Test; # exports ok() my $ct = CGI::Test->new( -base_url => "http://some.server:1234/cgi-bin", -cgi_dir => "/path/to/cgi-bin", ); my $page =...


Platforms: *nix

ASTUce is a regression testing framework for ECMAScript inspired by the xUnit architecture. ASTUce project is intended for developers who wish to implement unit tests..


Platforms: *nix

The software system solves constrained nonlinear parameter estimation problems. Synonyms are data fitting, nonlinear regression, parameter identification, curve and surface fitting. A statistical analysis provides confidence intervals, correlation and covariance matrices, identification of...


Platforms: Windows