bernoulli_process

Simulate a process where individuals in a given <code>from</code> state
advance to the <code>to</code> state each time step with probability <code>rate</code>.

A framework which provides users a set of useful primitive elements for
specifying individual based simulation models, with special attention models for
infectious disease epidemiology. Users build models by specifying variables for
each characteristic of individuals in the simulated population by using data
structures exposed by the package. The package provides efficient methods for
finding subsets of individuals based on these variables, or cohorts. Cohorts can
then be targeted for variable updates or scheduled for events. Variable updates
queued during a time step are executed at the end of a discrete time step, and
the code places no restrictions on how individuals are allowed to interact.
These data structures are designed to provide an intuitive way for users to turn
their conceptual model of a system into executable code, which is fast and
memory efficient.

Giovanni Charles

individual

Framework for Specifying and Simulating Individual Based Models

Sean L. Wu

Peter Winskill

Imperial College of Science, Technology and Medicine 

bernoulli_process function

<dl><dt>variable</dt>
<dd>a categorical variable.</dd>
<dt>from</dt>
<dd>a string representing the source category.</dd>
<dt>to</dt>
<dd>a string representing the destination category.</dd>
<dt>rate</dt>
<dd>the probability to move individuals between categories.</dd></dl>

Arguments

Bernoulli process — bernoulli_process

<dl>

<dt>variable</dt>
<dd>a categorical variable.</dd>


<dt>from</dt>
<dd>a string representing the source category.</dd>


<dt>to</dt>
<dd>a string representing the destination category.</dd>


<dt>rate</dt>
<dd>the probability to move individuals between categories.</dd>

</dl>

bernoulli_process: Bernoulli process

Description

Usage

Value

Arguments