get_toggleswitch: Toggle switch model
In pierrejacob/winference: Approximate Bayesian Computation with the Wasserstein distance
View source: R/model_get_toggleswitch.R
Description
This function returns a list representing the toggle switch model
of Bonassi, F. V., West, M., et al. (2015).
Sequential Monte Carlo with adaptive weights for approximate Bayesian computation. Bayesian Analysis, 10(1):171-187.
Usage
1
Value
The list contains rprior, dprior (generate and evaluate the density of prior distribution),
generate_randomness (generate data-generating variables), robservation (create synthetic
data sets), parameter_names (useful for plotting), thetadim (dimension of parameter),
ydim (dimension of observations), parameters (list of hyperparameters,
to be passed to rprior,dprior,robservation)
pierrejacob/winference documentation built on Feb. 17, 2020, 10:28 p.m.
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View source: R/model_get_toggleswitch.R
Description
This function returns a list representing the toggle switch model of Bonassi, F. V., West, M., et al. (2015). Sequential Monte Carlo with adaptive weights for approximate Bayesian computation. Bayesian Analysis, 10(1):171-187.
Usage
1 |
Value
The list contains rprior, dprior (generate and evaluate the density of prior distribution), generate_randomness (generate data-generating variables), robservation (create synthetic data sets), parameter_names (useful for plotting), thetadim (dimension of parameter), ydim (dimension of observations), parameters (list of hyperparameters, to be passed to rprior,dprior,robservation)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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