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Changelog

Source: NEWS.md

spEDM 1.8

spEDM 1.7

CRAN release: 2025-06-25

new

  • Provide R-level API and vignette for spatial logistic map (#609,#612).

enhancements

  • Replace logical vectors with integer index vectors for lib and pred in simplex and s-mapping forecasting sources (#632).

  • Prevent duplicate generic registrations and simplify method definitions (#627).

  • Unify parameter descriptions to lowercase (#570).

  • Introduce confidence interval ribbon support in plot method for gccm results (#550).

breaking changes

  • Refine randomization strategy in spatial causality test (#643).

  • Symbolization C++ functions now compute medians from lib subset only (#599).

  • Users must now use detrend instead of trend.rm (#559).

  • Enable column parameter in simplex() and smap() and rename columns parameter to column in multiview() (#565).

bug fixes

  • Fix bug in plot method for gccm results where legend labels did not correctly match the corresponding line colors (#552).

spEDM 1.6

CRAN release: 2025-05-16

new

  • Enact fnn R API support for false nearest neighbours method (#512).

  • Integrate R API and vignette for geographical cross mapping cardinality (#455).

  • Provide R-level API and vignette for spatial causality test (#403).

enhancements

  • Enable custom legend texts and colors in plot method for gccm results (#535).

  • Reduce computational load in vignettes (#476).

  • Document overall structure and usage of spEDM in a dedicated vignette (#415).

  • Create SSR vignette for spatial cross-sectional data state-space reconstruction (#412).

  • Include references for algorithms in spEDM (#367).

breaking changes

  • Use non-NA spatial units for lib/pred by default (#499).

  • Refine internal case data (#348).

bug fixes

  • Patch memory error caused by mismatch between C++ (0-based) and R (1-based) indexing (#480).

  • Fix error from non-matrix input in grid-type handling due to R matrix slicing (#474).

spEDM 1.5

CRAN release: 2025-03-12

new

  • Enable parallel.level parameter to specify parallel granularity in gccm R API (#310).

  • Implement the multiview function for multiview embedding forecasting (MVE) method (#221).

enhancements

  • 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).

breaking changes

  • 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).

bug fixes

  • Fix bug in R functions embedded, simplex, smap when input data contains only one attribute column (#246).

spEDM 1.4

CRAN release: 2025-02-10

enhancements

  • Improve default spatial neighbors list generation for spatial 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

CRAN release: 2025-02-01

new

  • 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).

enhancements

  • 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).

bug fixes

  • 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).

spEDM 1.2

CRAN release: 2025-01-14

enhancements

  • 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).

bug fixes

  • Fix the bug where the gccm function returns empty results when input grid data contains NA values (#61).

spEDM 1.1

CRAN release: 2024-12-19

bug fixes

  • Resolve CRAN auto check issues, no significant API changes.

spEDM 1.0

CRAN release: 2024-12-16

new

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