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Enable parallel.level parameter to specify parallel
granularity in gccm R API (#310).
Implement the multiview function for multiview
embedding forecasting (MVE) method (#221).
Integrate lib parameter in gccm R API
for library units selection (#278).
Set the default k to E+2 in the
gccm R API (#261).
Eliminate redundant computations at the source C++ code level (#233).
Add trend.rm option in the R API for
embedded, simplex, and smap
methods to align with gccm behavior (#191).
Refactor indexing of lag values and embedding vector generation for spatial lattice (#186,#184) and grid data (#183,#181).
Centered around example cases in the gccm vignette
(#170).
Default plotting method places the legend in the top-left corner of the plot now (#325).
Refine simplex & smap output on the
R side (#263).
embedded, simplex,
smap when input data contains only one attribute column
(#246).sdsfun package
(#159).tau parameter in the C++
source code and update the R side API (#154).Implement the smap function 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).
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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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