R: Machine Learning Method Based on Isolation Kernel Mean Embedding

# Machine Learning Method Based on Isolation Kernel Mean Embedding

## Documentation for package ‘MaxWiK’ version 1.0.6

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

apply_range | Function to restrict values of the data according with the range for each dimension
Data.2D | List of the objects for the 2D example of the MaxWiK methods usage
get.MaxWiK | Function to get Approximate Bayesian Computation based on Maxima Weighted Isolation Kernel mapping
MaxWiK.ggplot.density | Density plot
MaxWiK.predictor | Function to get Approximate Bayesian Computation based on Maxima Weighted Isolation Kernel mapping
MaxWiK_templates | Function to copy the templates from extdata folder in the library to /Templates/ folder in the working directory
meta_sampling | Function to get Approximate Bayesian Computation based on Maxima Weighted Isolation Kernel mapping
read_file | Function to read file
read_hyperparameters | Function to read hyperparameters and their values from the file
restrict_data | Function to restrict data in the size to accelerate the calculations
sampler_MaxWiK | Function to generate parameters and simulate a model based on MaxWiK algorithm
sampler_MaxWiK_parallel | Function to generate parameters and simulate a model based on MaxWiK algorithm