| Type | Location | Extends | Description |
|---|---|---|---|
| anova_factor | fstats_anova | None | Defines an ANOVA factor result. |
| array_container | fstats_types | None | Provides a container for a real-valued array. A practical use of this construct is in the construction of jagged arrays. |
| base_interpolator | fstats_interp | None | A base object for interpolation. |
| binomial_distribution | fstats_distributions | distribution | Defines a binomial distribution. The binomial distribution describes the probability p of getting k successes in n independent trials. |
| bootstrap_statistics | fstats_bootstrap | None | A collection of statistics resulting from the bootstrap process. |
| chain_builder | fstats_mcmc | None | A type allowing for the construction of chain of values. |
| chi_squared_distribution | fstats_distributions | distribution | Defines a Chi-squared distribution. |
| convergence_info | fstats_regression | None | Provides information regarding convergence status. |
| distribution | fstats_distributions | None | Defines a probability distribution. |
| doe_anova_table | fstats_experimental_design | None | ANOVA table for overall model fit assessment. |
| doe_comparison_result | fstats_experimental_design | None | Results from comparing two models. |
| doe_diagnostics | fstats_experimental_design | None | Model diagnostics and goodness-of-fit metrics. |
| doe_efficiency_metrics | fstats_experimental_design | None | Design efficiency metrics for evaluating design quality. |
| doe_model | fstats_experimental_design | None | A model used to represent a design of experiments result. The model is of the following form. |
| doe_optimization_result | fstats_experimental_design | None | Results from RSM-based optimization. |
| doe_prediction | fstats_experimental_design | None | Prediction with uncertainty quantification. |
| doe_residuals | fstats_experimental_design | None | Residual analysis data. |
| doe_rsm_model | fstats_experimental_design | None | Response Surface Model (quadratic model for RSM). |
| f_distribution | fstats_distributions | distribution | Defines an F-distribution. |
| hermite_interpolator | fstats_interp | base_interpolator | Defines a type meant for performing Hermite-type interpolation. The interpolating polynomial constructed by this object is a global polynomial, not a piecewise polynomial. Given N data points, the polynoial will be of degree 2 * N - 1. As N increases, the interpolating polynomial may be liable to oscillations that do not properly represent the data. For large data sets, a piecewise polynomial approach is recommended. See either the polynomial_interpolator or spline_interpolator types. |
| iteration_controls | fstats_regression | None | Provides a collection of iteration control parameters. |
| linear_interpolator | fstats_interp | base_interpolator | Defines a type meant for performing piecewise linear interpolation. |
| lm_solver_options | fstats_regression | None | Options to control the Levenberg-Marquardt solver. |
| log_normal_distribution | fstats_distributions | distribution | Defines a normal distribution. |
| mcmc_proposal | fstats_mcmc | None | Defines a type responsible for generating a proposal state for a Monte-Carlo, Markov-Chain sampler. |
| mcmc_sampler | fstats_mcmc | chain_builder | An implementation of the Metropolis-Hastings algorithm for the generation of a Markov chain. |
| mcmc_target | fstats_mcmc | None | Defines a model of the target distribution(s). |
| multivariate_distribution | fstats_distributions | None | Defines a multivariate probability distribution. |
| multivariate_normal_distribution | fstats_distributions | multivariate_distribution | Defines a multivariate normal (Gaussian) distribution. |
| normal_distribution | fstats_distributions | distribution | Defines a normal distribution. |
| poisson_distribution | fstats_distributions | distribution | Defines a Poisson distribution. |
| polynomial_interpolator | fstats_interp | base_interpolator | Defines a type meant for performing piecewise polynomial interpolation. |
| regression_statistics | fstats_regression | None | A container for regression-related statistical information. |
| single_factor_anova_table | fstats_anova | None | Defines a single-factor ANOVA results table. |
| spline_interpolator | fstats_interp | base_interpolator | Defines a type meant for performing cubic spline interpolation. |
| t_distribution | fstats_distributions | distribution | Defines Student's T-Distribution. |
| two_factor_anova_table | fstats_anova | None | Defines a two-factor ANOVA results table. |