:py:mod:`pemtk.fit._stats`
==========================

.. py:module:: pemtk.fit._stats


Module Contents
---------------


Functions
~~~~~~~~~

.. autoapisummary::

   pemtk.fit._stats.setPoissWeights



.. py:function:: setPoissWeights(lam, wShape)

   Poissionian weights.

   Set using https://numpy.org/devdocs/reference/random/generated/numpy.random.Generator.poisson.html

   Pass (lambda, shape)

   If int or float, set weights = rng.poisson(weights, data.shape).
   Note this operates per data-point, not per dimension.

   - If Xarray or np.array, use directly - must match size of data along key dimension, e.g. passing weights = rng.poisson(weights, data.t.size) will generate a distribution along the t-dimension.