ardata: SSA simulated data from the prokaryotic transcription model.
In lnar: Inference for stochastic kinetic genetic networks.

Description Usage Format Details References Examples

The SSA algorithm was used to simulate the prokaryotic transcription model of Golightly and Wilkinson (2005) for a time interval of 49 time units. The data contain observations of the model's state at every time unit without any observational error.

1	data(ardata)

A data frame with 50 observations on the following 5 numeric variables.

Time: The time instance the observation was recorded.
RNA: The number of molecules for the RNA species.
P: The number of molecules for the P species.
P2: The number of molecules for the P2 species.
DNA: The number of molecules for the DNA species.

The prokaryotic transcription model contains 5 species but due to the linear dependence between DNA and DNA.P2 ( {DNA} + {DNA.P2} = 10) , the latter was omitted.

Golightly, A., Wilkinson, D. J.: 2005, Bayesian inference for stochastic kinetic models using a diffusion approximation, Biometrics, 61(3):781-788.