conditional.dist

We just sample from <code>x</code> and place the sample in <code>empirical_dist</code> and
then condition on it.

Provides an algebra over probability distributions enabling
composition, sampling, and automatic simplification to closed forms.
Supports normal, exponential, multivariate normal, and empirical
distributions with operations like addition and subtraction that
automatically simplify when mathematical identities apply (e.g., the
sum of independent normal distributions is normal). Uses S3 classes for
distributions and R6 for support objects.

Alexander Towell

algebraic.dist

Algebra over Probability Distributions

conditional.dist function

<dl><dt>x</dt>
<dd>The distribution object.</dd>
<dt>P</dt>
<dd>The predicate function to condition the distribution on</dd>
<dt>n</dt>
<dd>The number of samples to generate for the MC estimate of the
conditional distribution x | P. Defaults to 10000.</dd>
<dt>...</dt>
<dd>additional arguments to pass into <code>P</code>.</dd></dl>

Arguments

Method for obtaining the condition distribution, x | P(x), of
dist object x. — conditional.dist

<dl>

<dt>x</dt>
<dd>The distribution object.</dd>


<dt>P</dt>
<dd>The predicate function to condition the distribution on</dd>


<dt>n</dt>
<dd>The number of samples to generate for the MC estimate of the
conditional distribution x | P. Defaults to 10000.</dd>


<dt>...</dt>
<dd>additional arguments to pass into <code>P</code>.</dd>

</dl>

conditional.dist: Method for obtaining the condition distribution, `x | P(x)`, of `dist` object `x`.

Description

Usage

Arguments