blip.solver: Structure Optimization
In r.blip: Bayesian Network Learning Improved Project

Description Usage Arguments Details Value Examples

View source: R/main.R

Find an optimal structure from the cache of parent sets

1 2	blip.solver(jkl, method = "winasobs", time = 3600, cores = 1, verbose = 0)

`jkl`	cache of pre-computed parent sets.(required)
`method`	Method to be used. Possible values: "winasobs", "winobs", "asobs", "obs". (default: winasobs)
`time`	Maximum Execution time (default: 3600)
`cores`	Number of machine cores to use. If 0, all are used. (default: 1)
`verbose`	Verbose level (default: 0)

The input data is required to be complete and discrete. Accordingly missing values in the input data.frame will be ignored, and all numeric values will be converted to integers.

Structure