sdsfun package (#159).tau parameter in the C++ source code and update the R side API (#154).Implement the smap funtion to enable the selection of the optimal theta parameter (#128).
Add simplex function to support selecting the optimal embedding dimension for variables (#98).
Provide an R-level API for generating embeddings (#97).
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).
Support testing causal links in GCCM with different E and k for cause and effect variables (#96).
Add thread settings for gccm (#94).
Add S-maps cross-prediction support to gccm (#81).
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).
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).
gccm function returns empty results when input grid data contains NA values (#61).GCCM method for spatial lattice and grid data using pure C++11.