simulate

simulate,panelPomp-method

<code>simulate</code> generates simulations of the state and measurement
processes.

Data analysis based on panel partially-observed Markov process (PanelPOMP) models. To implement such models, simulate them and fit them to panel data, 'panelPomp' extends some of the facilities provided for time series data by the 'pomp' package. Implemented methods include filtering (panel particle filtering) and maximum likelihood estimation (Panel Iterated Filtering) as proposed in Breto, Ionides and King (2020) "Panel Data Analysis via Mechanistic Models" <doi:10.1080/01621459.2019.1604367>.

Jesse Wheeler

panelPomp

Inference for Panel Partially Observed Markov Processes

Carles Breto

Aaron Abkemeier

simulate function

<dl><dt>object</dt>
<dd>a <code>panelPomp</code> object.</dd>
<dt>nsim</dt>
<dd>The number of simulations to perform. Unlike the pomp
simulate method, all simulations share the same parameters.</dd>
<dt>shared</dt>
<dd>Named vector of the shared parameters.</dd>
<dt>specific</dt>
<dd>Matrix of unit-specific parameters, with a column
for each unit.</dd></dl>

Arguments

Author

Simulations of a panel of partially observed Markov process — simulate

<dl>

<dt>object</dt>
<dd>a <code>panelPomp</code> object.</dd>


<dt>nsim</dt>
<dd>The number of simulations to perform. Unlike the pomp
simulate method, all simulations share the same parameters.</dd>


<dt>shared</dt>
<dd>Named vector of the shared parameters.</dd>


<dt>specific</dt>
<dd>Matrix of unit-specific parameters, with a column
for each unit.</dd>

</dl>

simulate: Simulations of a panel of partially observed Markov process

Description

Usage

Value

Arguments

Author

Examples