Uses of Class
microsim.data.MultiKeyCoefficientMap

Packages that use MultiKeyCoefficientMap

Package	Description
microsim.data
microsim.data.excel
microsim.statistics.regression

Uses of MultiKeyCoefficientMap in microsim.data

Methods in microsim.data that return MultiKeyCoefficientMap

Modifier and Type	Method	Description
MultiKeyCoefficientMap	MultiKeyCoefficientMap.clone()
static MultiKeyCoefficientMap	MultiKeyCoefficientMapFactory.createMapFromAnnotatedList(@NonNull List<?> list)	Creates a MultiKeyCoefficientMap and adds values from the list to it according to the provided CoefficientMapping class annotation.

Uses of MultiKeyCoefficientMap in microsim.data.excel

Methods in microsim.data.excel that return MultiKeyCoefficientMap

Modifier and Type	Method	Description
static @Nullable MultiKeyCoefficientMap	ExcelAssistant.loadCoefficientMap(@NonNull String excelFileName, @NonNull String sheetName, int keyColumns, int valueColumns)	Loads MultiKeyCoefficientMap from Excel spreadsheet data, reading from the first line of the spreadsheet, and automatically finds the last line of the spreadsheet.
static @Nullable MultiKeyCoefficientMap	ExcelAssistant.loadCoefficientMap(@NonNull String excelFileName, @NonNull String sheetName, int keyColumns, int valueColumns, int startLine, int endLine)	Load MultiKeyCoefficientMap from Excel spreadsheet data, choosing which line to start reading from via the startLine parameter.

Uses of MultiKeyCoefficientMap in microsim.statistics.regression

Methods in microsim.statistics.regression that return MultiKeyCoefficientMap

Modifier and Type	Method	Description
static @NonNull MultiKeyCoefficientMap	RegressionUtils.bootstrap(@NonNull MultiKeyCoefficientMap map)	Method to bootstrap regression covariates.
static @NonNull MultiKeyCoefficientMap	RegressionUtils.bootstrap(@NonNull MultiKeyCoefficientMap coefficients, @NonNull MultiKeyCoefficientMap covarianceMatrix)	Method to bootstrap regression covariates.

Methods in microsim.statistics.regression that return types with arguments of type MultiKeyCoefficientMap

Modifier and Type	Method	Description
static <T> @NonNull Map<T,MultiKeyCoefficientMap>	RegressionUtils.bootstrapMultinomialRegression(@NonNull Map<T,MultiKeyCoefficientMap> eventRegressionCoefficientMap, @NonNull MultiKeyCoefficientMap covarianceMatrix, @NonNull Class<T> enumType)	Method to bootstrap multinomial regression covariates.

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

Modifier and Type	Method	Description
static @NonNull MultiKeyCoefficientMap	RegressionUtils.bootstrap(@NonNull MultiKeyCoefficientMap map)	Method to bootstrap regression covariates.
static @NonNull MultiKeyCoefficientMap	RegressionUtils.bootstrap(@NonNull MultiKeyCoefficientMap coefficients, @NonNull MultiKeyCoefficientMap covarianceMatrix)	Method to bootstrap regression covariates.
static <T> @NonNull Map<T,MultiKeyCoefficientMap>	RegressionUtils.bootstrapMultinomialRegression(@NonNull Map<T,MultiKeyCoefficientMap> eventRegressionCoefficientMap, @NonNull MultiKeyCoefficientMap covarianceMatrix, @NonNull Class<T> enumType)	Method to bootstrap multinomial regression covariates.
static double	LinearRegression.computeScore(@NonNull MultiKeyCoefficientMap amap, @NonNull Map<String,Double> values)	Warning - only use when LinearRegression object contains a MultiKeyCoefficientMap with only one key.
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.
static double	LinearRegression.computeScore(MultiKeyCoefficientMap coeffMultiMap, Object agent)	To be used when the agent Object has member fields that correspond by name to all the regressors of the Regression's MultiKeyCoefficientMap map.

Method parameters in microsim.statistics.regression with type arguments of type MultiKeyCoefficientMap

Modifier and Type	Method	Description
static <T> @NonNull Map<T,MultiKeyCoefficientMap>	RegressionUtils.bootstrapMultinomialRegression(@NonNull Map<T,MultiKeyCoefficientMap> eventRegressionCoefficientMap, @NonNull MultiKeyCoefficientMap covarianceMatrix, @NonNull Class<T> enumType)	Method to bootstrap multinomial regression covariates.

Constructors in microsim.statistics.regression with parameters of type MultiKeyCoefficientMap

Modifier	Constructor	Description
	LinearRegression(@NonNull MultiKeyCoefficientMap map)	Linear Regression object.
	LogitRegression(@NonNull MultiKeyCoefficientMap map)
	LogitRegression(@NonNull MultiKeyCoefficientMap map, @NonNull cern.jet.random.engine.MersenneTwister random)
	ProbitRegression(@NonNull MultiKeyCoefficientMap map)
	ProbitRegression(@NonNull MultiKeyCoefficientMap map, @NonNull Random random)

Constructor parameters in microsim.statistics.regression with type arguments of type MultiKeyCoefficientMap

Modifier	Constructor	Description
	MultiLogitRegression(@NonNull Map<T,MultiKeyCoefficientMap> maps)
	MultiLogitRegression(@NonNull Map<T,MultiKeyCoefficientMap> maps, @NonNull Random random)
	MultiProbitRegression(@NonNull Map<T,MultiKeyCoefficientMap> maps)
	MultiProbitRegression(@NonNull Map<T,MultiKeyCoefficientMap> maps, @NonNull Random random)