Cross-recurrence quantification analysis of two time-series, of either categorical or continuous values. It provides different methods for profiling cross-recurrence, i.e., only looking at the diagonal recurrent points, as well as more in-depth measures of the whole cross-recurrence plot, e.g., recurrence rate.
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Use optimized and user-specified values in optimizeParam #18
This addresses the concerns raised in issue #17 by using the identified optimal delay (commit c2530a239e0642c79f13b07ebd8dcef3f993cb4d) and the user-specified maximum embedding dimension (commit cd4524f870e13daf850c90373d1a19e175cdd361) when identifying the optimal embedding dimension.
Let me know if you see any problems or would like additional edits before merging. I'm hoping that this can be merged fairly quickly, since the optimizeParam() function is a great resource for users in this community. Thanks!
Hi there,
This addresses the concerns raised in issue #17 by using the identified optimal delay (commit c2530a239e0642c79f13b07ebd8dcef3f993cb4d) and the user-specified maximum embedding dimension (commit cd4524f870e13daf850c90373d1a19e175cdd361) when identifying the optimal embedding dimension.
Let me know if you see any problems or would like additional edits before merging. I'm hoping that this can be merged fairly quickly, since the
optimizeParam()function is a great resource for users in this community. Thanks!Cheers, Alex