Nonparametric

Data Pilot expands data analysis options available in Microsoft Excel with nonparametric statistical methods. The methods used in Data Pilot provides the most relevant results even with small numbers of samples, without any assumptions on distribution of the original sample. This is especially... Platforms: Windows

Statistics::ROC is a Perl module with receiver-operator-characteristic (ROC) curves with nonparametric confidence bounds. SYNOPSIS use Statistics::ROC; my ($y) = loggamma($x); my ($y) = betain($x, $p, $q, $beta); my ($y) = Betain($x, $p, $q); my ($y) = xinbta($p, $q, $beta, $alpha); my... Platforms: *nix

This function was developed for nonparametric estimation problems where the estimate must satisfy some shape constraint. Our standard example of this is using a kernel density estimator, with the constraint that the estimate can have only one mode.Let x be the observed data, and confun(x,...) be... Platforms: Matlab

Statistics::SDT Perl package contains signal detection theory measures of sensitivity and response-bias. SYNOPSIS use Statistics::SDT; $sdt = Statistics::SDT->new( { hits => 50, signal_trials => 50, false_alarms => 17, noise_trials => 25, correct => 2, } ); $d =... Platforms: *nix

ROC Analysis is a tool for graphing the Receiver Operating Characteristic (ROC) curve and calculates the Area Under the ROC Curve (AUC) using a nonparametric method. Platforms: Mac

LDhat is a C/C++ written project that was specially designed for the analysis of recombination rates from population genetic data. The following programs are included: · convert: Simple manipulation of DNA sequence data · pairwise: Parametric and nonparametric analyses of recombination ·... Platforms: Windows

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. Platforms: Windows, Mac, Linux

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

There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and powerspectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The... Platforms: Matlab

Measures of Analysis of Time Series (MATS) toolkit computes a number of different measures of analysis of scalar time series (linear, nonlinear and other statistical measures). It also contains pre-processing tools (transformations and standardizations), data splitting facility, resampled data... Platforms: Matlab

AWclust is easy to use non-parametric population structure analysis software written for R with a GUI interface. Just point and click and you will be on your way to discovering the important cluster information in your SNP data sets. The software works well with both small and large SNP... Platforms: Mac

Statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics and estimation of statistical models. Main Features regression: Generalized least squares (including weighted least squares and least squares with autoregressive... Platforms: *nix