spEDM 1.4

enhancements

• Improve default spatial neighbor list generation for lattice data with support from the sdsfun package (#159).

breaking changes

• Adjust the behavior of the tau parameter in the C++ source code and update the R side API (#154).

spEDM 1.3

• Implement the smap funtion to enable the selection of the optimal theta parameter (#128).

• Now bidirectional mapping in the gccm result uses a full join structure when organized on the R side (#118).

• Support for calculating unidirectional mappings in the gccm function (#117).

• Relax gccm C++ source code libsizes minimum value constraint of E+2 (#109).

• Include an option in gccm to determine whether to include the current state when generating embedding vectors (#103).

• Provide a complete GCCM workflow for spatial lattice and grid data in the gccm vignette (#100).

• Add simplex function to support selecting the optimal embedding dimension for variables (#98).

• Provide an R-level API for generating embeddings (#97).

• Support testing causal links in GCCM with different E and k for cause and effect variables (#96).

• Add thread settings for gccm (#94).

• Resolve r crash caused by invalid E #90 and k #89 parameter settings in gccm.

• Fix incorrect Pearson correlation calculation in C++ code when input contains NA (#83).

• Add S-maps cross-prediction support to gccm (#81).

spEDM 1.2

• Encapsulate the gccm function using the S4 class (#72).

• Add options for tau, k, and progressbar in gccm (#69).

• Add print and plot s3 methods for gccm result (#64).

• Require sdsfun package version 0.7.0 or higher (#61).

spEDM 1.1

• Resolve CRAN autocheck issues, no significant API changes.

spEDM 1.0

• Implementing the GCCM method for spatial lattice and grid data using pure C++11.