Contents:
GMM
GMM.gaussian_mixture_em()
GMM.gaussian_mixture_sklearn()
GMM.constrained_gaussian_mixture()
GMM.gaussian_mixture_pdf()
GMM.sample_from_gmm()
Sinclair
Sinclair.cumulative_to_sigma()
Sinclair.sigma_to_cumulative()
Sinclair.get_raw_data()
Sinclair.calculate_combined_population()
Stats
Stats.lognormal_median_ci()
Stats.bootstrap_mean_ci()
Stats.median()
Stats.mad()
Stats.mad_std()
Stats.sigma_clip()
Stats.sigma_clipped_stats()
Stats.biweight_location()
Stats.biweight_scale()
Stats.trim()
Stats.trimmed_mean()
Stats.trimmed_std()
Stats.trimboth()
Stats.trimtail()
Stats.winsorize()
Stats.winsorized_mean()
Stats.winsorized_std()
Stats.Huber()
Stats.lognormal_estimator()
Stats.umvue_finney_lognormal_estimator()
Stats.umvue_sichel_lognormal_estimator()
Stats.finneys_g()
Stats.psi_table
Stats.lookup_psi()
Stats.ci_standard_approx()
Stats.ci_lnorm_zou()
Stats.ci_cox()
Stats.lands_cond_t_prop_density_polar()
Stats.lands_cond_t_prop_density()
Stats.qlands_t()
Stats.lands_C_old()
Stats.lands_C()
Stats.ci_land()
Stats.ci_lnorm_land()
Propagate_Errors
Propagate_Errors.propagate_em_error()
Propagate_Errors.propagate_sklearn_error()
Propagate_Errors.propagate_constrained_error()
Propagate_Errors.elaborate_results()
Visualize_Mpl
Visualize_Mpl.pp_raw_data()
Visualize_Mpl.pp_combined_population()
Visualize_Mpl.pp_single_populations()
Visualize_Mpl.pp_one_population()
Visualize_Mpl.pp_add_sigma_grid()
Visualize_Mpl.pp_add_percentiles()
Visualize_Mpl.qq_plot()
Visualize_Mpl.plot_gmm_pdf()
Visualize_Plotly
Visualize_Plotly.pp_raw_data()
Visualize_Plotly.pp_one_population()
Visualize_Plotly.pp_single_populations()
Visualize_Plotly.pp_combined_population()
Visualize_Plotly.pp_add_percentiles()
Visualize_Plotly.plot_gmm_pdf()
Visualize_Plotly.qq_plot()
Here are interactive demonstrations to show the capabilities of pyco2stats.