Analysis dispatch based on ample-map type
Analysis dispatch based on ample-map type
Compute autocorrelation analysis for sample data. Analyzes lag-1 and higher lag autocorrelations to detect sample non-independence. When outliers is provided, filters outlier samples before computing ACF. When outliers is nil, uses all samples (for pattern detection before outlier removal). Returns nil if sample data is not available or has insufficient samples.
Compute autocorrelation analysis for sample data. Analyzes lag-1 and higher lag autocorrelations to detect sample non-independence. When outliers is provided, filters outlier samples before computing ACF. When outliers is nil, uses all samples (for pattern detection before outlier removal). Returns nil if sample data is not available or has insufficient samples.
Fit parametric distributions to sample data using MLE. Computes parameter estimates, log-likelihood, AIC/BIC, and goodness-of-fit tests. Returns nil if sample data is not available.
Fit parametric distributions to sample data using MLE. Computes parameter estimates, log-likelihood, AIC/BIC, and goodness-of-fit tests. Returns nil if sample data is not available.
Calculate sample statistics for events.
Calculate sample statistics for events.
Calculate kernel density estimation. Returns nil if sample data is not available (e.g., digest-based samples).
Calculate kernel density estimation. Returns nil if sample data is not available (e.g., digest-based samples).
Calculate mode analysis with statistical validation. Takes KDE output and computes modes with multimodality testing for significance. Supports :acr (default) and :silverman test methods via :method option. Returns nil if raw sample data is not available.
Calculate mode analysis with statistical validation. Takes KDE output and computes modes with multimodality testing for significance. Supports :acr (default) and :silverman test methods via :method option. Returns nil if raw sample data is not available.
Compute tail statistics for extreme value analysis. Includes Hill estimator, GPD fitting, mean residual life, tail ratios, and high quantile estimation. Uses raw samples without outlier filtering (tail analysis requires 'outliers'). Returns nil if sample data is not available.
Compute tail statistics for extreme value analysis. Includes Hill estimator, GPD fitting, mean residual life, tail ratios, and high quantile estimation. Uses raw samples without outlier filtering (tail analysis requires 'outliers'). Returns nil if sample data is not available.
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