Dew.Stats.Core
Advanced tools
Dew.Stats.Core is the cross-platform and managed-only edition of the Dew.Stats statistical computing library. It provides an extensive suite of tools for probability distributions, hypothesis testing, regression, multivariate analysis, time-series modeling, and experimental design. Built on top of Dew.Math.Core, it operates without native binary dependencies, making it suitable for Windows, Linux, macOS, mobile environments, plugins, sandboxed systems, and WebAssembly deployment. Probability Distributions and Random Models: - PDF, CDF, and inverse CDF for 36+ standard continuous and discrete distributions - Random number generators with parameter estimation and sampling workflows Descriptive and Exploratory Statistics: - Moments, quantiles, percentiles, ranks, scaling, normalization, cumulative transforms - Histograms, ogives, and distribution diagnostics Hypothesis Testing and Statistical Inference: - Parametric tests: t-test, Z-test, F-test, Chi-Squared, Bartlett, Hotelling T² - Non-parametric tests: Wilcoxon, Sign, Mann-Whitney, Anderson–Darling, Shapiro–Wilk, KS - Confidence intervals, residual analysis, goodness-of-fit evaluation Regression and Model Fitting: - Linear and multiple linear regression (weighted / unweighted) - Logistic, Poisson, Ridge regression, nonlinear regression (BFGS / CG / Marquardt / Simplex) - ANOVA and ANCOVA, principal component regression Multivariate and Structure Analysis: - PCA (covariance/correlation), PCA residuals, item analysis, rotational transforms - Classical Multidimensional Scaling and dimensionality significance tests Time Series Analysis and Forecasting: - ACF and PACF, moving-average and smoothing methods - ARMA/ARIMA/ARAR models with coefficient estimation via Yule–Walker, Burg, Innovations, and MLE - Box-Ljung significance tests and forecasting diagnostics Ready-to-Use High-Level Components: - TMtxANOVA, TMtxMulLinReg, TMtxNonLinReg, TMtxPCA, TMtxHypothesisTest, TMtxBinaryTest, TMtxMDScaling Integration Notes: - Uses Dew.Math.Core (managed vector/matrix computation, no native runtime dependency) - No visualization layer is included in the Core edition Dew.Stats.Core is ideal for portable analytics workflows, scripting, services, and embedded scientific computing.
Cross-platform statistical computing and modeling library built on Dew.Math.Core, fully managed, with no native dependencies. Built on top of Dew Math Core Library.
Dew.Stats.Core provides a comprehensive suite of statistical, multivariate, regression, and time-series analysis tools that run on:
This edition contains no native binary acceleration and is ideal for maximum portability.
| Component | Purpose |
|---|---|
TMtxANOVA | Analysis of variance |
TMtxMulLinReg | Multiple linear regression |
TMtxNonLinReg | Nonlinear regression & model fitting |
TMtxPCA | Principal Component Analysis |
TMtxHypothesisTest, TMtxBinaryTest | Statistical inference workflows |
TMtxMDScaling | Multidimensional scaling |
| Target Framework | Dependency |
|---|---|
netstandard2.0 | Dew.Math.Core >= 6.3.5 |
net8.0 | Dew.Math.Core >= 6.3.5 |
net9.0 | Dew.Math.Core >= 6.3.5 |
No native runtime packs required.
Dew.Stats.CoreChoose this edition when:
If you require hardware-accelerated BLAS/LAPACK performance, use Dew.Stats instead (native optimized edition).
| Environment | Examples |
|---|---|
| General | https://github.com/Dew-Research |
| WinForms / WPF / ASP.NET (.NET Framework) | https://github.com/Dew-Research/DewLabStudio-NETFramework-Samples |
| WinForms (.NET Core / .NET 5+) | https://github.com/Dew-Research/DewLabStudio-NETCore-Samples |
| Resource | Link |
|---|---|
| API Reference | https://www.dewresearch.com/Help/VSNET/StatsMaster/contents.html |
| Product Page | https://www.dewresearch.com/products/stats-master/stats-master-for-visual-studio-net |
| NuGet Publisher Profile | https://www.nuget.org/profiles/DewResearch/ |
| License | https://www.dewresearch.com/downloads/LicenseNET.pdf |
Commercial license. See DewStatsLicense.txt included in this package.
All Dew.* NuGet packages on nuget.org are trial versions and work from inside Visual Studio IDE only.
FAQs
Dew.Stats.Core is the cross-platform and managed-only edition of the Dew.Stats statistical computing library. It provides an extensive suite of tools for probability distributions, hypothesis testing, regression, multivariate analysis, time-series modeling, and experimental design. Built on top of Dew.Math.Core, it operates without native binary dependencies, making it suitable for Windows, Linux, macOS, mobile environments, plugins, sandboxed systems, and WebAssembly deployment. Probability Distributions and Random Models: - PDF, CDF, and inverse CDF for 36+ standard continuous and discrete distributions - Random number generators with parameter estimation and sampling workflows Descriptive and Exploratory Statistics: - Moments, quantiles, percentiles, ranks, scaling, normalization, cumulative transforms - Histograms, ogives, and distribution diagnostics Hypothesis Testing and Statistical Inference: - Parametric tests: t-test, Z-test, F-test, Chi-Squared, Bartlett, Hotelling T² - Non-parametric tests: Wilcoxon, Sign, Mann-Whitney, Anderson–Darling, Shapiro–Wilk, KS - Confidence intervals, residual analysis, goodness-of-fit evaluation Regression and Model Fitting: - Linear and multiple linear regression (weighted / unweighted) - Logistic, Poisson, Ridge regression, nonlinear regression (BFGS / CG / Marquardt / Simplex) - ANOVA and ANCOVA, principal component regression Multivariate and Structure Analysis: - PCA (covariance/correlation), PCA residuals, item analysis, rotational transforms - Classical Multidimensional Scaling and dimensionality significance tests Time Series Analysis and Forecasting: - ACF and PACF, moving-average and smoothing methods - ARMA/ARIMA/ARAR models with coefficient estimation via Yule–Walker, Burg, Innovations, and MLE - Box-Ljung significance tests and forecasting diagnostics Ready-to-Use High-Level Components: - TMtxANOVA, TMtxMulLinReg, TMtxNonLinReg, TMtxPCA, TMtxHypothesisTest, TMtxBinaryTest, TMtxMDScaling Integration Notes: - Uses Dew.Math.Core (managed vector/matrix computation, no native runtime dependency) - No visualization layer is included in the Core edition Dew.Stats.Core is ideal for portable analytics workflows, scripting, services, and embedded scientific computing.
We found that dew.stats.core demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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