Changes in version 1.13 enhancements - No longer loads the sf and terra namespaces when loading spEDM package. (#1000). - Clarify output indexing and boundary handling in fnn generic via console output modification (#999). Changes in version 1.12 (2026-04-05) new - Correct maintainer surname spelling from Lv to Lyu for pinyin compliance (#966). enhancements - Support data slicing by library and prediction sets for large scale pattern causality computation (#985). - Assign zero to missing pattern causality values for positive, negative, and dark categories in returned results (#983). - Qualify function calls in examples with namespace for reproducibility (#971). - Inject plain-text terminal hint to fnn output (#965). - Unify preprocessing strategies for embedding parameters E and tau across spatial causal discovery algorithms (#960). - Enable asymmetric configurations (E, tau, k) in bidirectional pattern causality analysis (#955). breaking changes - Match causality detection direction in optimal parameter search to actual variable naming (#995). - Ensure that k is constrained to be greater than or equal to E during optimal parameter search (#990). - Switch the random parameter to replace in the gpc generic implementation and revise the sampling logic accordingly (#987). - Rename NA handling argument from NA_rm to na_rm and change default value to true (#968). - Align conds parameter in scpcm generic to accept condition variables in direct path order for causal mediation analysis (#961). bug fixes - Resolve visualization failure when probing only one direction of causality with bidirectional set to FALSE (#981). - Correct mismatch between causal strength direction and prediction direction in pattern causality (#978). - Fix incorrect midpoint-based pattern causality classification (#973). Changes in version 1.11 (2026-02-03) bug fixes - Eliminate default initialization pollution from NaN-skipped elements in library and prediction sets (#951). - Resolve macOS CRAN check failures caused by missing #include directives for string and utility headers (#948). Changes in version 1.10 (2026-02-01) new - Provide R-level API and vignette for spatially convergent partial cross mapping (#936). enhancements - Trim console output for geographical pattern causality results (#942). - Enforce include order to prevent R headers from preceding Rcpp headers (#932). - Support optional white noise in spatial logistic map simulation (#922). - Align vignette metadata with index entry for correct cran listing (#920). Changes in version 1.9 (2025-11-30) new - Provide R-level API and vignette for geographical pattern causality (#868). - Introduce cross mapping of raster data with anisotropic embedding and variable sliding window steps (#812). - Extend capabilities to incorporate mean-based and stacked spatial cross-sectional embeddings in cross mapping (#800). enhancements - Drive extension of slm generics with custom aggregation capabilities (#912). - Permit simplex and ic generics to accept varying E, k, and tau inputs (#900). - Calibrate spacing conventions and enable real execution of available-thread detection (#885). - Maintain consistent double precision floating-point comparisons across cpp sources (#850). - Unify font specification in S3 plotting method for cross-mapping results (#830). - Support spatial grid(raster) data detrending with cell center coordinates or row/column numbers (#815). breaking changes - Remove redundant internal case data (cu.tif) from the package (#828). - Harmonize parameter order across S4 generics for spatial vector and raster data (#817). Changes in version 1.8 (2025-08-31) new - Provide new mechanisms for variable interaction in the spatial logistic map (#772). - Introduce configurable distance metrics for cross mapping (#761). - Enable alternative styles of spatial cross-sectional embedding (#755). enhancements - Safeguard transient removal logic in spatial logistic map to prevent index errors (#744). - Adjust the default E range in the simplex generic to 2:10 to support more robust reconstruction of state spaces (#739). - Introduce multi-threading in distance-related computations where applicable to improve runtime efficiency (#718). - Display p-value annotation for maximum library size in cross mapping visualization legend (#710). breaking changes - Prevent unreliable predictions and potentially alter results when NaNs are present in cross mapping (#747). - Rename coordinate columns in population density case csv to lon and lat (#741). Changes in version 1.7 (2025-06-25) new - Provide R-level API and vignette for spatial logistic map (#609,#612). enhancements - No longer initializes the RNG state when loading spEDM package (#652). - 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). Changes in version 1.6 (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). Changes in version 1.5 (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). Changes in version 1.4 (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). Changes in version 1.3 (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 generic (#94). - Add S-maps cross-prediction support to gccm generic (#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). Changes in version 1.2 (2025-01-14) enhancements - Encapsulate the gccm generic 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 generic returns empty result when input grid data contains NA values (#61). Changes in version 1.1 (2024-12-19) bug fixes - Resolve CRAN auto check issues, no significant API changes. Changes in version 1.0 (2024-12-16) new - Implement gccm generic for spatial lattice and grid data using modern C++.