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One-sided confidence interval plots: confidence_interval_plot() now detects alternative='greater' or alternative='less' in the conf_int() result dict and renders the open bound as a short stub with a native matplotlib limit-indicator caret (►/◄ via xuplims/xlolims), following the forest-plot truncation convention. Axis limits exclude the infinite bound; a corner annotation and one-sided hint are added to the default xlabel and title.
New optional kwargs for confidence_interval_plot(): stub_fraction (default 0.06), show_alternative_note (default True), note_fontsize (default 8), marker (default 'o').
Added 15 new tests in TestCIPlotOneSided covering smoke rendering, finite axis-limit checks, caret artist presence, backward compatibility, annotation toggle, label content, stub_fraction effect, unknown alternative validation, savepath, and max_display truncation.
New tutorial section "Visualising One-Sided and Two-Sided Confidence Intervals" in docs/tutorials/confidence_intervals.ipynb with a 3-panel side-by-side comparison.