firstOrderMarkovModel: A class to train First Order Markov Models
In robertogattabs/pMiner.v045: Processes Mining in Medicine

This is an implementation of the First Order Markov Model (firstOrderMarkovModel) for Process Mining issues. This class provides a minimal set of methods to handle with the FOMM model:

firstOrderMarkovModel( ) is the costructor
loadDataset( ) loads data taken from a dataLoader::getData() method, into a FOMM object
trainModel( ) train a model using the previously loaded dataset
replay( ) re-play a given event log on the internal FOMM model
play( ) play the internal FOMM model a desired number of times, in order to simulate new event-logs. This methods can also, if desired, simulate event-logs which does not complies with the internal FOMM model.
plot( ) plot the internal model
KaplanMeier( ) build a Kaplan Meier curve through an indicated pathway
distanceFrom( ) calculate the scalar distance to another passed FOMM model, passed as argument. The default metric returns a scalar value
getModel( ) return the trained internal FOMM model
getInstanceClass( ) return the instance class Name and description (version, etc.)
plot.delta.graph( ) plot a graph, in the desired modality, representing the difference between the internal FOMM and a passed one.
build.PWF( ) build automatically a PWF XML definition script.
findReacheableNodes( ) and return the array containing the reacheable states, starting from the passed one.

In order to better undestand the use of such methods, please visit: www.pminer.info

The consturctor admit the following parameters: parameters.list a list containing possible parameters to tune the model.

1	firstOrderMarkovModel(parameters.list = list())

parameters.list

a list containing the parameters. The possible ones are: 'considerAutoLoop' and 'threshold'. 'considerAutoLoop' is a boolean which indicates if the autoloops have to be admitted, while 'threshold' is the minimum value that a probability should have to do not be set to zero, in the transition matrix.

robertogattabs/pMiner.v045 documentation built on July 12, 2021, 6:40 a.m.