Uses of Interface
microsim.statistics.DoubleSource

Packages that use DoubleSource

Package	Description
microsim.statistics
microsim.statistics.functions
microsim.statistics.reflectors
microsim.statistics.regression
microsim.statistics.weighted.functions

Uses of DoubleSource in microsim.statistics

Fields in microsim.statistics declared as DoubleSource

Modifier and Type	Field	Description
protected DoubleSource	Series.Double.target

Methods in microsim.statistics with parameters of type DoubleSource

Modifier and Type	Method	Description
void	TimeSeries.addSeries(@NonNull DoubleSource source, @NonNull Enum<?> valueID)	Adds a new series to the existing one.

Constructors in microsim.statistics with parameters of type DoubleSource

Modifier	Constructor	Description
	Double(@NonNull DoubleSource source)	Creates a statistic probe on a collection of DoubleSource objects.
	Double(@NonNull DoubleSource source, @NonNull Enum<?> valueID)	Creates a statistic probe on a collection of DoubleSource objects.

Uses of DoubleSource in microsim.statistics.functions

Classes in microsim.statistics.functions that implement DoubleSource

Modifier and Type	Class	Description
class	CountArrayFunction	This class computes the number of values in an array taken from a data source.
class	MaxArrayFunction	This class computes the maximum value in an array of source values.
static class	MaxArrayFunction.Double	MaxFunction operating on double source values.
static class	MaxArrayFunction.Integer	MaxFunction operating on integer source values.
static class	MaxArrayFunction.Long	MaxFunction operating on long source values.
class	MaxTraceFunction	A MixFunction object is to collect data over time, computing some statistics on the fly, without storing the data in memory.
static class	MaxTraceFunction.Double	An implementation of the Memoryless Series class, which manages double type data sources.
static class	MaxTraceFunction.Integer	An implementation of the Memoryless Series class, which manages integer type data sources.
static class	MaxTraceFunction.Long	An implementation of the Memoryless Series class, which manages long type data sources.
class	MeanArrayFunction	This class computes the average value of an array of values taken from a data source.
class	MeanVarianceArrayFunction	This class computes the average and variance value of an array of values taken from a data source.
class	MinArrayFunction	This class computes the minimum value in an array of source values.
static class	MinArrayFunction.Double	MinFunction operating on double source values.
static class	MinArrayFunction.Integer	MinFunction operating on integer source values.
static class	MinArrayFunction.Long	MinFunction operating on long source values.
class	MinTraceFunction	A MixFunction object is to collect data over time, computing some statistics on the fly, without storing the data in memory.
static class	MinTraceFunction.Double	An implementation of the Memoryless Series class, which manages double type data sources.
static class	MinTraceFunction.Integer	An implementation of the Memoryless Series class, which manages integer type data sources.
static class	MinTraceFunction.Long	An implementation of the Memoryless Series class, which manages long type data sources.
class	MovingAverageArrayFunction	This class computes the average of the last given number of values in an array taken from a data source.
class	MovingAverageTraceFunction	This class computes the average of the last values collected from a data source.
class	MultiTraceFunction	A MixFunction object is to collect data over time, computing some statistics on the fly, without storing the data in memory.
static class	MultiTraceFunction.Double	An implementation of the Memoryless Series class, which manages double type data sources.
static class	MultiTraceFunction.Integer	An implementation of the Memoryless Series class, which manages integer type data sources.
static class	MultiTraceFunction.Long	An implementation of the Memoryless Series class, which manages long type data sources.
class	PercentileArrayFunction	This function calculates percentiles (p1,p5,p10-p90,p95,p99) for a given cross-section of data.
class	SumArrayFunction	This class computes the sum of an array of source values.
static class	SumArrayFunction.Double	SumFunction operating on double source values.
static class	SumArrayFunction.Integer	SumFunction operating on integer source values.
static class	SumArrayFunction.Long	SumFunction operating on long source values.

Fields in microsim.statistics.functions declared as DoubleSource

Modifier and Type	Field	Description
protected DoubleSource	MovingAverageTraceFunction.dblSource
protected DoubleSource	MaxTraceFunction.Double.target
protected DoubleSource	MinTraceFunction.Double.target
protected DoubleSource	MultiTraceFunction.Double.target

Constructors in microsim.statistics.functions with parameters of type DoubleSource

Modifier	Constructor	Description
	Double(@NonNull DoubleSource source, @NonNull Enum<?> valueID)	Creates a basic statistic probe on a DoubleSource object.
	Double(@NonNull DoubleSource source, @NonNull Enum<?> valueID)	Creates a basic statistic probe on a DoubleSource object.
	Double(@NonNull DoubleSource source, @NonNull Enum<?> valueID)	Creates a basic statistic probe on a DoubleSource object.
	MovingAverageTraceFunction(@NonNull DoubleSource source, @NonNull Enum<?> valueID, int windowSize)	Creates a basic statistic probe on a DoubleSource object.

Uses of DoubleSource in microsim.statistics.reflectors

Classes in microsim.statistics.reflectors that implement DoubleSource

Modifier and Type	Class	Description
class	DoubleInvoker	Employs Java reflection to call objects' methods which return double values.

Uses of DoubleSource in microsim.statistics.regression

Methods in microsim.statistics.regression with parameters of type DoubleSource

Modifier and Type	Method	Description
static <T extends Enum<T>, U extends Enum<U>> double	LinearRegression.computeScore(@NonNull MultiKeyCoefficientMap coeffMultiMap, @NonNull DoubleSource iDblSrc, @NonNull Class<T> enumTypeDouble, @NonNull ObjectSource iObjSrc, @NonNull Class<U> enumTypeObject)	Requires the implementation of the ObjectSource to ascertain whether any additional conditioning regression keys are used (e.g.
static <T extends Enum<T>> double	LinearRegression.computeScore(@NonNull MultiKeyCoefficientMap coeffMultiMap, @NonNull DoubleSource iDblSrc, Class<T> enumType)	Uses reflection to obtain information from the iDblSrc object, so it is possibly slow.
static <T extends Enum<T>> double	LinearRegression.computeScore(@NonNull MultiKeyCoefficientMap coeffMultiMap, @NonNull DoubleSource iDblSrc, Class<T> enumType, boolean singleKeyCoefficients)	Use this method when the underlying agent does not have any additional conditioning regression keys (such as the gender or civil status) to determine the appropriate regression co-efficients, i.e.
<T extends Enum<T>> boolean	LogitRegression.event(@NonNull DoubleSource iDblSrc, @NonNull Class<T> enumType)
<T extends Enum<T>, U extends Enum<U>> boolean	LogitRegression.event(@NonNull DoubleSource iDblSrc, @NonNull Class<T> enumTypeDbl, @NonNull ObjectSource iObjSrc, @NonNull Class<U> enumTypeObj)
<T extends Enum<T>> boolean	ProbitRegression.event(@NonNull DoubleSource iDblSrc, @NonNull Class<T> enumType)
<T extends Enum<T>, U extends Enum<U>> boolean	ProbitRegression.event(@NonNull DoubleSource iDblSrc, @NonNull Class<T> enumTypeDbl, @NonNull ObjectSource iObjSrc, @NonNull Class<U> enumTypeObj)
<E extends Enum<E>> T	MultiLogitRegression.eventType(DoubleSource iDblSrc, Class<E> Regressors, Class<T> enumType)
<E extends Enum<E>> T	MultiProbitRegression.eventType(DoubleSource iDblSrc, Class<E> Regressors, Class<T> enumType)
<E extends Enum<E>> double	MultiLogitRegression.getLogitTransformOfScore(T event, @NonNull DoubleSource iDblSrc, @NonNull Class<E> Regressors)
<T extends Enum<T>> double	LogitRegression.getProbability(@NonNull DoubleSource iDblSrc, @NonNull Class<T> enumType)
<T extends Enum<T>, U extends Enum<U>> double	LogitRegression.getProbability(@NonNull DoubleSource iDblSrc, @NonNull Class<T> enumTypeDbl, @NonNull ObjectSource iObjSrc, @NonNull Class<U> enumTypeObj)
<T extends Enum<T>> double	ProbitRegression.getProbability(@NonNull DoubleSource iDblSrc, @NonNull Class<T> enumType)
<T extends Enum<T>, U extends Enum<U>> double	ProbitRegression.getProbability(@NonNull DoubleSource iDblSrc, @NonNull Class<T> enumTypeDbl, @NonNull ObjectSource iObjSrc, @NonNull Class<U> enumTypeObj)
<E extends Enum<E>> double	MultiProbitRegression.getProbitTransformOfScore(T event, DoubleSource iDblSrc, @NonNull Class<E> Regressors)
<T extends Enum<T>> double	LinearRegression.getScore(@NonNull DoubleSource iDblSrc, @NonNull Class<T> enumType)
<T extends Enum<T>, U extends Enum<U>> double	LinearRegression.getScore(@NonNull DoubleSource iDblSrc, @NonNull Class<T> enumTypeDouble, @NonNull ObjectSource iObjSrc, @NonNull Class<U> enumTypeObject)	Requires the implementation of the ObjectSource to ascertain whether any additional conditioning regression keys are used (e.g.
<T extends Enum<T>> double	LinReg.getScore(@NonNull DoubleSource iDblSrc, @NonNull Class<T> enumType)
<T extends Enum<T>, U extends Enum<U>> double	LinReg.getScore(@NonNull DoubleSource iDblSrc, @NonNull Class<T> enumTypeDouble, @NonNull ObjectSource iObjSrc, @NonNull Class<U> enumTypeObject)

Uses of DoubleSource in microsim.statistics.weighted.functions

Classes in microsim.statistics.weighted.functions that implement DoubleSource

Modifier and Type	Class	Description
class	Weighted_MeanArrayFunction	This class computes the (weighted) average (mean) value of an array of values taken from a data source, weighted by corresponding weights: weighted mean = sum (values * weights) / sum (weights) Note that the array of weights must have the same length as the array of values, otherwise an exception will be thrown.
class	Weighted_SumArrayFunction	This class computes the sum of an array of source values, with each element of the array multiplied by the weight of the source (the source must implement the Weight interface).
static class	Weighted_SumArrayFunction.Double	SumFunction operating on weighted double source values.
static class	Weighted_SumArrayFunction.Integer	SumFunction operating on weighted integer source values.
static class	Weighted_SumArrayFunction.Long	SumFunction operating on weighted long source values.