trunc_geom

A geometric distribution sampler with probability 'p' restricted to values
inside [1, max]. Because of this restriction, very low values of 'p' 
coupled with low 'max' return increasingly uniform populations in 
the interval [1, max].

internal

Learning and inference over dynamic Bayesian networks of arbitrary
Markovian order. Extends some of the functionality offered by the 'bnlearn'
package to learn the networks from data and perform exact inference.
It offers three structure learning algorithms for dynamic Bayesian networks:
Trabelsi G. (2013) <doi:10.1007/978-3-642-41398-8_34>, Santos F.P. and Maciel C.D. (2014)
<doi:10.1109/BRC.2014.6880957>, Quesada D., Bielza C. and Larrañaga P. (2021)
<doi:10.1007/978-3-030-86271-8_14>. It also offers the possibility to perform
forecasts of arbitrary length. A tool for visualizing the structure of the
net is also provided via the 'visNetwork' package.

David Quesada

dbnR

Dynamic Bayesian Network Learning and Inference

Gabriel Valverde

trunc_geom function

<dl><dt>p</dt>
<dd>the parameter of the geometric distribution</dd>
<dt>max</dt>
<dd>the maximum value allowed to be sampled</dd></dl>

Arguments

Geometric distribution sampler truncated to a maximum — trunc_geom

<dl>

<dt>p</dt>
<dd>the parameter of the geometric distribution</dd>


<dt>max</dt>
<dd>the maximum value allowed to be sampled</dd>

</dl>

trunc_geom: Geometric distribution sampler truncated to a maximum

Description

Usage

Value

Arguments