Load the precomputed per-category TPS Hawkes refit manifest

Reads paper_hawkes_refit.json and returns the Markovian (exponential kernel, constant baseline) and non-Markovian (Weibull kernel, sinusoidal baseline) AIC, branching ratio, and KS p-value per category as a tidy data.frame.

Usage

mrm_tps_load_hawkes_refit(manifest_path)

Arguments

manifest_path

Path to paper_hawkes_refit.json.

Value

A data.frame with one row per category, columns category, n_fitted, T_days, aic_mark, kappa_mark, ks_p_mark, aic_nm, eta_nm, ks_p_nm, delta_aic.

Examples

if (FALSE) {
  mrm_tps_load_hawkes_refit("paper_hawkes_refit.json")
}