jlizier 16015e0f12 Nearest neighbour searchers now return number of points found for findPointsWithinR as well as marking them in input arrays. Also added new method sumDistanceAboveThresholdForPointsWithinRs() for the univariate searcher (to be used in spiking TE estimator under development)		2018-11-24 21:16:36 +11:00
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demos/autoanalysis	Added new auto-embedding capability for TE Gaussian into the AutoAnalyser GUI demo. Also added new auto-embedding drop down option of Max corrected AIS + TE for KSG as well, and debugged the getProperty returning of the number of nearest neighbours for Ragwitz criteria now that this occurs in the common superclass instead of in KSG (and gave this a reasonable default of 4)	2018-10-17 14:23:20 +11:00
measures	Incorporated auto-embedding in the TE multivariate via conditional MI common class. Much of the code is moved up from the TE multivariate KSG estimator; now the functionality is provided for multivariate Gaussian as well. Also necessitated adding the max_cor_num_surrogates property to TE multivariate Gaussian, and took the opportunity to make much of the whitespace here consistent, and unit tests added for Gaussian (tweaked slightly for KSG)	2018-10-18 00:58:17 +11:00
networkinference/interregional	Altering TE Kraskov to do auto-embedding properly when we have added multiple observations with validity vectors. Also taking the opportunity to re-engineer the internals to lay groundwork for auto-embedding function to be shared with the Gaussian estimator at a later stage. Unit tests added here as well for the above.	2018-10-15 20:56:50 +11:00
utils	Nearest neighbour searchers now return number of points found for findPointsWithinR as well as marking them in input arrays. Also added new method sumDistanceAboveThresholdForPointsWithinRs() for the univariate searcher (to be used in spiking TE estimator under development)	2018-11-24 21:16:36 +11:00