|
| None | example_plot_jointdistrib.ensure_dir (str path) |
| |
| Matrix | example_plot_jointdistrib.ar1_corr (int d, float rho) |
| |
| Any | example_plot_jointdistrib.make_likelihood_cfg () |
| |
| float | example_plot_jointdistrib._safe_float (x) |
| |
| Tuple[np.ndarray, np.ndarray] | example_plot_jointdistrib.ecdf (np.ndarray samples) |
| |
| np.ndarray | example_plot_jointdistrib.gaussianize (np.ndarray U) |
| |
| np.ndarray | example_plot_jointdistrib.spearman_corr (np.ndarray U) |
| |
| None | example_plot_jointdistrib.plot_hist_pdf (np.ndarray samples, dist, str name, str outpath) |
| |
| None | example_plot_jointdistrib.plot_cdf_ecdf (np.ndarray samples, dist, str name, str outpath) |
| |
| None | example_plot_jointdistrib.plot_uniformity (np.ndarray u, str name, str outpath) |
| |
| None | example_plot_jointdistrib.plot_hist2d (np.ndarray u1, np.ndarray u2, str title, str outpath) |
| |
| None | example_plot_jointdistrib.plot_heatmap (np.ndarray M, str title, str outpath) |
| |
| None | example_plot_jointdistrib.plot_joint_density_2d (jd, np.ndarray X, str title, str outpath, int grid=120) |
| |
| None | example_plot_jointdistrib.main (str outdir="joint_plots", int seed=123, int n=15000, str copula_kind="GAUSSIAN", int nu=6, float rho=0.65) |
| |
1.9.8