LocScalePTM.plot_r_cdf()

LocScalePTM.plot_r_cdf()#

LocScalePTM.plot_r_cdf(samples, grid=None, ci_quantiles=(0.05, 0.95), hdi_prob=None, show_n_samples=50, seed=1)[source]#

Plot the posterior CDF of the transformed variable r.

Parameters:

  • samples (dict[str, Any]) – Posterior samples dict used to build the distribution.

  • grid (Any | None) – Points at which to evaluate the CDF; if None, uses a response grid. (default: None)

  • ci_quantiles (tuple[float, float] | None) – Credible interval quantiles for ribbons. (default: (0.05, 0.95))

  • hdi_prob (float | None) – Optional HDI probability to annotate. (default: None)

  • show_n_samples (int | None) – Number of sampled CDF trajectories to overlay. (default: 50)

  • seed (int | Any) – RNG seed for subsampling trajectories. (default: 1)

Return type:

ggplot

Returns:

ggplot – A ggplot object of the CDF with credible bands.

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