Skip to contents

Changelog

Source: NEWS.md

spEDM 1.5

enhancements

  • Apply parallel-level computations for each libsize when executing gccm on spatial grid data (#203).

  • Introduce trend.rm option in the R API for embedded, simplex, and smap methods to align with gccm behavior (#191).

  • Reimplement 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).

spEDM 1.4

CRAN release: 2025-02-10

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

CRAN release: 2025-02-01

new

  • 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).

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).

  • 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).

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 pure C++11.