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E

East - microsim.space.turtle.AbstractTurtle.Direction

end() - Method in class microsim.engine.SimulationEngine

Stops the simulation and call the simulationEnd method of each running model.

End - microsim.event.SystemEventType

EngineListener - Interface in microsim.engine

EntryValue(Object[], Object[]) - Constructor for class microsim.data.MultiKeyHashMap.EntryValue

equals(Object) - Method in class microsim.space.AbstractSpace

Test if the passed object is equal.

equals(Object) - Method in class microsim.space.SpacePosition

equals(Object) - Method in class microsim.space.SparseObjectSpace

Test if o is the same of this.

event(double) - Static method in class microsim.statistics.regression.RegressionUtils

event(double, Random) - Static method in class microsim.statistics.regression.RegressionUtils

event(Class<T>, double[]) - Static method in class microsim.statistics.regression.RegressionUtils

event(Class<T>, double[], boolean) - Static method in class microsim.statistics.regression.RegressionUtils

event(Object) - Method in interface microsim.statistics.regression.IBinaryChoiceRegression

event(Object) - Method in class microsim.statistics.regression.LogitRegression

event(Object) - Method in class microsim.statistics.regression.ProbitRegression

event(AbstractList<T>, Random) - Static method in class microsim.statistics.regression.RegressionUtils

For sampling an event where all events in the sample space have equal probability.

event(Map<String, Double>) - Method in interface microsim.statistics.regression.IBinaryChoiceRegression

event(Map<String, Double>) - Method in class microsim.statistics.regression.LogitRegression

event(Map<String, Double>) - Method in class microsim.statistics.regression.ProbitRegression

event(Map<T, Double>) - Static method in class microsim.statistics.regression.RegressionUtils

event(Map<T, Double>, boolean) - Static method in class microsim.statistics.regression.RegressionUtils

event(Map<T, Double>, Random) - Static method in class microsim.statistics.regression.RegressionUtils

Although this method is easy to use with Maps with events as the keys and probabilities as the values, it will be very slow to call it in a loop, as the events[] and prob[] need to be extracted each time this method is called.

event(Map<T, Double>, Random, boolean) - Static method in class microsim.statistics.regression.RegressionUtils

Useful for sampling without replacement whenever the checkWeightSum flag is set to false, as new probabilities are calculated each time this method is called.

event(IDoubleSource, Class<T>) - Method in class microsim.statistics.regression.LogitRegression

event(IDoubleSource, Class<T>) - Method in class microsim.statistics.regression.ProbitRegression

event(IDoubleSource, Class<T>, IObjectSource, Class<U>) - Method in class microsim.statistics.regression.LogitRegression

event(IDoubleSource, Class<T>, IObjectSource, Class<U>) - Method in class microsim.statistics.regression.ProbitRegression

event(T[], double[]) - Static method in class microsim.statistics.regression.RegressionUtils

You must provide a vector of events (any type of object) and relative weights which sum must be equal to 1.0.

event(T[], double[], boolean) - Static method in class microsim.statistics.regression.RegressionUtils

event(T[], double[], Random) - Static method in class microsim.statistics.regression.RegressionUtils

event(T[], double[], Random, boolean) - Static method in class microsim.statistics.regression.RegressionUtils

Returns an event determined randomly from a set of events and weights.

event(T[], Random) - Static method in class microsim.statistics.regression.RegressionUtils

For sampling an event where all events in the sample space have equal probability.

Event - Class in microsim.event

Event() - Constructor for class microsim.event.Event

EVENT_DIFFUSE - Static variable in class microsim.space.DoubleDiffuseSpace

EVENT_LIST_STEP - Static variable in class microsim.event.EventQueue

The action type passed to step listeners.

EVENT_SAVE - Static variable in class microsim.statistics.TimeSeries

A custom event identifier for perfomAction method.

EventGroup - Class in microsim.event

A special implementation of the SimEvent familiy.

EventGroup() - Constructor for class microsim.event.EventGroup

Build a new group event.

EventListener - Interface in microsim.event

eventPiecewiseConstant(double[], double[], Random) - Static method in class microsim.statistics.regression.RegressionUtils

Performs a linear interpolation on the (numerical) event domain of a piecewise constant probability distribution

eventPiecewiseConstant(double[], double[], Random, boolean) - Static method in class microsim.statistics.regression.RegressionUtils

Performs a linear interpolation on the (numerical) event domain of a piecewise constant probability distribution

EventQueue - Class in microsim.event

The eventQueue manages a time ordered queue of events.

EventQueue() - Constructor for class microsim.event.EventQueue

Build new event queue with TIME_TICKS time unit.

EventQueue(EventQueue) - Constructor for class microsim.event.EventQueue

Build new event queue inheriting parameters from another EventQueue.

eventsToArray() - Method in class microsim.event.EventGroup

Return an sorted array of the added events.

eventType(Object) - Method in interface microsim.statistics.regression.IMultipleChoiceRegression

eventType(Object) - Method in class microsim.statistics.regression.MultiLogitRegression

eventType(Map<String, Double>) - Method in interface microsim.statistics.regression.IMultipleChoiceRegression

eventType(Map<String, Double>) - Method in class microsim.statistics.regression.MultiLogitRegression

Warning - only use when MultiLogitRegression's maps field has values that are MultiKeyCoefficientMaps with only one key.

Warning - only use when MultiProbitRegression's maps field has values that are MultiKeyCoefficientMaps with only one key.

eventType(IDoubleSource, Class<E>, Class<T>) - Method in class microsim.statistics.regression.MultiLogitRegression

ExcelAssistant - Class in microsim.data.excel

ExcelAssistant() - Constructor for class microsim.data.excel.ExcelAssistant

experiment - Variable in class microsim.data.db.ExperimentParameter

Experiment - Class in microsim.data.db

Experiment() - Constructor for class microsim.data.db.Experiment

ExperimentBuilder - Interface in microsim.engine

ExperimentManager - Class in microsim.data

Singleton.

ExperimentParameter - Class in microsim.data.db

ExperimentParameter() - Constructor for class microsim.data.db.ExperimentParameter

export() - Method in class microsim.data.DataExport

Export the values of the fields.

ExportCSV - Class in microsim.data

ExportCSV class allows the exporting of data to .csv files.

ExportCSV(Object) - Constructor for class microsim.data.ExportCSV

Allows the exporting of all fields (including private and inherited fields) of an object to a .csv file named after the object's class name.

extractDoubleArray(Collection<?>, Class<?>, String, boolean) - Static method in class microsim.reflection.ArrayExtractor

extractFloatArray(Collection<?>, Class<?>, String, boolean) - Static method in class microsim.reflection.ArrayExtractor

extractIntegerArray(Collection<?>, Class<?>, String, boolean) - Static method in class microsim.reflection.ArrayExtractor

extractLongArray(Collection<?>, Class<?>, String, boolean) - Static method in class microsim.reflection.ArrayExtractor

extractStringArray(Collection<?>, Class<?>, String, boolean) - Static method in class microsim.reflection.ArrayExtractor

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