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- East - microsim.space.turtle.AbstractTurtle.Direction
- end() - Method in class microsim.engine.SimulationEngine
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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
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Test if the passed object is equal.
- equals(Object) - Method in class microsim.space.SpacePosition
- equals(Object) - Method in class microsim.space.SparseObjectSpace
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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
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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
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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
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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
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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
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Returns an event determined randomly from a set of events and weights.
- event(T[], Random) - Static method in class microsim.statistics.regression.RegressionUtils
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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
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The action type passed to step listeners.
- EVENT_SAVE - Static variable in class microsim.statistics.TimeSeries
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A custom event identifier for perfomAction method.
- EventGroup - Class in microsim.event
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A special implementation of the SimEvent familiy.
- EventGroup() - Constructor for class microsim.event.EventGroup
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Build a new group event.
- EventListener - Interface in microsim.event
- eventPiecewiseConstant(double[], double[], Random) - Static method in class microsim.statistics.regression.RegressionUtils
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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
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Performs a linear interpolation on the (numerical) event domain of a piecewise constant probability distribution
- EventQueue - Class in microsim.event
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The eventQueue manages a time ordered queue of events.
- EventQueue() - Constructor for class microsim.event.EventQueue
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Build new event queue with TIME_TICKS time unit.
- EventQueue(EventQueue) - Constructor for class microsim.event.EventQueue
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Build new event queue inheriting parameters from another EventQueue.
- eventsToArray() - Method in class microsim.event.EventGroup
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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
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Warning - only use when MultiLogitRegression'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
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Singleton.
- ExperimentParameter - Class in microsim.data.db
- ExperimentParameter() - Constructor for class microsim.data.db.ExperimentParameter
- export() - Method in class microsim.data.DataExport
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Export the values of the fields.
- ExportCSV - Class in microsim.data
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ExportCSV class allows the exporting of data to .csv files.
- ExportCSV(Object) - Constructor for class microsim.data.ExportCSV
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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
Warning - only use when MultiProbitRegression's maps field has values that are MultiKeyCoefficientMaps with only one key.
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