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Compute symmetric KL divergence matrix for self-distances (1D) Curves are first normalized to be valid probability distributions

Source: R/extendr-wrappers.R
metric_kl_self_1d.Rd

Compute symmetric KL divergence matrix for self-distances (1D) Curves are first normalized to be valid probability distributions

Usage

metric_kl_self_1d(fdata, argvals, eps, normalize)