Data.2D {MaxWiK} | R Documentation |
List of the objects for the 2D example of the MaxWiK methods usage
Description
A list containing input and output data for 2D example for Approximate Bayesian Computation,
including sampling scheme, meta-sampling, and prediction. To understand all details of the dataset, please,
be kind to see vignette of the package.
Usage
Data.2D
Format
A list of:
- X
Input data frame of the model
- Y
Output data frame of the model
- observation
Data frame with observation info
- ABC
List of hyperparameters, the matrix of Voronoi sites, posteriori distribution, and results of MaxWiK algorithm
- metasampling
List of results of meta-sampling algorithm, and the network of points during meta-sampling
- sampling
List of object which are necessary for sampling algorithm like function for simulation, parameters of the model, MSE (mean squared error), and X12 - generated points
- predictor
List of object which are necessary for predictor algorithm like posteriori.MaxWiK, result of the algorithm, and network of points during meta-sampling