vec_rmeasure

vec_rmeasure-spatPomp

vec_rmeasure,spatPomp-method

Simulate from the unit measurement model density function for each unit

Inference on panel data using spatiotemporal partially-observed Markov process (SpatPOMP) models. The 'spatPomp' package extends 'pomp' to include algorithms taking advantage of the spatial structure in order to assist with handling high dimensional processes. See Asfaw et al. (2024) <doi:10.48550/arXiv.2101.01157> for further description of the package.

Edward Ionides

spatPomp

Inference for Spatiotemporal Partially Observed Markov Processes

Kidus Asfaw

Aaron A. King

Allister Ho

Joonha Park

Jesse Wheeler

Jifan Li

Ning Ning

Haogao Gu

Kunyang He

Gottfried Julian

vec_rmeasure function

<dl><dt>object</dt>
<dd>a <code>spatPomp</code> object</dd>
<dt>x</dt>
<dd>numeric; state at which measurements are simulated</dd>
<dt>times</dt>
<dd>numeric; time at which measurements are simulated</dd>
<dt>params</dt>
<dd>numeric; parameter set at which measurements are simulated</dd>
<dt>...</dt>
<dd>additional parameters will be ignored</dd></dl>

Arguments

Author

Vector simulating measurements for each unit using runit_measure — vec_rmeasure

<dl>

<dt>object</dt>
<dd>a <code>spatPomp</code> object</dd>


<dt>x</dt>
<dd>numeric; state at which measurements are simulated</dd>


<dt>times</dt>
<dd>numeric; time at which measurements are simulated</dd>


<dt>params</dt>
<dd>numeric; parameter set at which measurements are simulated</dd>


<dt>...</dt>
<dd>additional parameters will be ignored</dd>

</dl>

Vector simulating measurements for each unit using <code>runit_measure</code>

vec_rmeasure: Vector simulating measurements for each unit using `runit_measure`

Description

Usage

Value

Arguments

Author