Description Data analysis using contactsimulator Author(s)
The contactsimulator package provides facilities for inference on spatial-temporal data using contact type distribution models. These models are also known as state-space models, hidden Markov models, or nonlinear stochastic dynamical systems. One can use contactsimulator to fit nonlinear, non-Gaussian dynamic models to time-series data. The package is both a set of tools for data analysis and a platform upon which statistical inference methods for contacts models can be implemented.
contactsimulator provides algorithms for
simulation of stochastic
dynamical systems; see simulate
The package also provides various tools for plotting and extracting information on models and data.
Hola Adrakey
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.