contactsimulator-package: Inference for spatio-temporal contact type models

Description Data analysis using contactsimulator Author(s)

Description

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.

Data analysis using contactsimulator

contactsimulator provides algorithms for

  1. simulation of stochastic dynamical systems; see simulate

The package also provides various tools for plotting and extracting information on models and data.

Author(s)

Hola Adrakey


holaanna/contactsimulator documentation built on Dec. 2, 2019, 2:39 a.m.