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Progressively updated doc references (WIP) #1714

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Jun 8, 2021
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4 changes: 3 additions & 1 deletion arviz/plots/hdiplot.py
Original file line number Diff line number Diff line change
Expand Up @@ -71,7 +71,9 @@ def plot_hdi(
backend : {"matplotlib","bokeh"}, optional
Select plotting backend.
backend_kwargs : bool, optional
These are kwargs specific to the backend being used. Passed to ::``
These are kwargs specific to the backend being used, passed to
:meth:`mpl:matplotlib.axes.Axes.plot` or
:meth:`bokeh:bokeh.plotting.figure.Figure.patch`.
show : bool, optional
Call backend show function.

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8 changes: 8 additions & 0 deletions arviz/stats/stats.py
Original file line number Diff line number Diff line change
Expand Up @@ -156,6 +156,14 @@ def compare(
--------
loo : Compute the Pareto Smoothed importance sampling Leave One Out cross-validation.
waic : Compute the widely applicable information criterion.
plot_compare : Summary plot for model comparison.

References
----------
.. [1] Vehtari, A., Gelman, A. & Gabry, J. Practical Bayesian model evaluation using
leave-one-out cross-validation and WAIC. Stat Comput 27, 1413–1432 (2017)
see https://doi.org/10.1007/s11222-016-9696-4

"""
names = list(dataset_dict.keys())
if scale is not None:
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