Csnippet

Csnippet-class

text

For including snippets of C code in <code>pomp</code> objects.

Tools for working with partially observed Markov processes (POMPs, AKA stochastic dynamical systems, state-space models).  'pomp' provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods.  It is also a platform for the implementation of new inference methods.

Aaron King

pomp

Statistical Inference for Partially Observed Markov Processes

Csnippet function

From version 0.50, <pkg>pomp</pkg> provides a facility whereby users can define their model's components using inline C code.
 Furnishing one or more <code>Csnippet</code>s as arguments to the <code>pomp</code> constructor causes them to be written to a C file stored in the Rsession's temporary directory, which is then compiled (via <code><a href="/link/R%20CMD%20SHLIB?package=pomp&version=1.4.1.1&to=%3DSHLIB" rd-options="=SHLIB" data-mini-rdoc="=SHLIB::R CMD SHLIB">R CMD SHLIB</a></code>) into a dynamically loadable shared object file.
 This is then loaded as needed. Note to Windows and Mac users:
 By default, your Rinstallation may not support <code><a href="/link/R%20CMD%20SHLIB?package=pomp&version=1.4.1.1&to=%3DSHLIB" rd-options="=SHLIB" data-mini-rdoc="=SHLIB::R CMD SHLIB">R CMD SHLIB</a></code>.
 The package website contains installation instructions that show how to enable this powerful feature of R. In writing a <code>Csnippet</code> one must bear in mind both the goal of the snippet, i.e., what computation it is intended to perform, and the context in which it will be executed.
 Details of both of these are given below in the form of rules governing the use of <code>Csnippet</code>s.
 Illustrative examples are given in the tutorials on the <href>http://kingaa.github.io/pomp</href>{package website}.

Csnippet: C code snippets for accelerating computations

Description

Usage

Arguments

Value

Using C snippets to accelerate computations