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pymc/distributions/censored.py

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@@ -107,8 +107,8 @@ class Censored(Distribution):
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with pm.Model():
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normal_dist = pm.Normal.dist(mu=0.0, sigma=1.0)
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censored_normal = pm.Censored("censored_normal", normal_dist, lower=-1, upper=1)
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Partial censoring of normal distributions achienved by passing +/-inf censor points.
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Partial censoring of normal distributions achienved by passing +/-inf censor points.
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Examples of 4 censor conditions: uncensored (-inf, inf), upper censored (-inf, 1),
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lower censored (-1, inf), and both censored (-1, 1)
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.. code-block:: python

pymc/distributions/truncated.py

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@@ -291,8 +291,8 @@ class Truncated(Distribution):
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with pm.Model():
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normal_dist = pm.Normal.dist(mu=0.0, sigma=1.0)
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truncated_normal = pm.Truncated("truncated_normal", normal_dist, lower=-1, upper=1)
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Partial truncatin of normal distributions achieved by passing +/-inf truncation points.
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Partial truncatin of normal distributions achieved by passing +/-inf truncation points.
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Examples of 4 truncation conditions: untruncated (-inf, inf), upper truncated (-inf, 1),
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lower truncated (-1, inf), and both truncated (-1, 1)
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.. code-block:: python

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