Probability distributions, combinatorial functions, descriptive statistics, clustering, regression, hypothesis tests, anova and non-negative matrix factorizaion (NMF).
Version: 4.2NMath Stats contains a data table class with functions for computing descriptive statistics, such as mean, variance, standard deviation, percentile, median, quartiles, geometric mean, harmonic mean, RMS, kurtosis, skewness, and many more;
License: Free To Try $495.00
Operating System: Windows
PDF, CDF, inverse CDF, and random variable moments for probability distributions, including normal (Gaussian), Poisson, chi-square, gamma, beta, Student's t, F, binomial, Johnson and negative binomial; Combinatorial functions, such as factorial, log factorial, binomial coefficient, and log binomial; Multiple linear regression; Logistic regression;
Basic hypothesis tests, such as z-test, t-test, and F-test, with calculation of p-values, critical values, and confidence intervals; One-way and two-way analysis of variance (ANOVA) and analysis of variance with repeated measures (RANOVA); Partial least squares (PLS) with cross validation and the NIPALS and SIMPLS algorithms;
Kruskal-Wallis ranks sum test; Non-negative matrix factorization (NMF); smoothing filters; principal component analysis and clustering.
If you are interested in evaluating NMath Stats, we offer a free fully-functional trial version, distributed in binary form only for a 30-day evaluation period. Purchased product includes source code, user documentation, help files and examples.
Version 4.2: Added two way anova with unbalanced designs, partial least squares discriminant analysis, auxiliary stats for logistic regressions.
Version 4.1: Added studentized and standardized residuals.
Version 4.0: Upgraded to Intel MKL 11.1 Update 3 with resulting performance increases.
Version 3.3: Added chi square hypothesis test. Performance improvements.
Version 3.2: Now ships with Kruskal-Wallis rank sum test, goodness of fit measures and the johnson distribution. Improved support for .NET 4.0 and performance improvements.
Version 3.1: Now ships with Kmeans clustering, Savitzky-Golay smoothing and Cronbach's alpha. Miscellaneous bug fixes and performance improvements.
Version 3.0: Now ships with non-negative matrix factorization (NMF) clustering, a DataFrame custom debug visualizer and single-precision principal component analysis. Calculations distributed to all cores on multi-core machines. Miscellaneous bug fixes and performance improvements.
Version 2.3: Added partial least squares (PLS) and non-negative matrix factorization (NNMF). Better support for Visual Studio 2005, .NET 2.0. Improved performance.
Version 2.1.1: Improved performance.