NEWS

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sdsfun 0.9.0

sdsfun 0.8.1 (2025-09-22)

• Loading sdsfun no longer initializes the RNG state (#59).

• Fix misclassification of matrix inputs as vectors in cor_test() (#58).

• Fix a deprecation warning emitted by Armadillo (#55).

sdsfun 0.8.0 (2025-05-12)

• Add cor_test for unified (partial) correlation testing (#49).

• Implement head/tails breaking method in discretize_vector function (#42).

sdsfun 0.7.0 (2025-01-13)

• Handling NA Values Specifically for rm_lineartrend() (#29).

sdsfun 0.6.0 (2024-12-11)

• Add support for removing variable linear trend based on covariate (#23).

• Adds support for converting long-form tables into matrices corresponding to two-dimensional spatial positions (#20).

• The aggregation method for hierarchical clustering in hclustgeo_disc() is set to ward.D2 by default (#18).

sdsfun 0.5.0 (2024-11-25)

• Add hclustgeo_disc for hierarchical clustering with spatial soft constraints (#13).

• Add spade_psd for the fast estimation of the SPADE model psd-value.

• Add sf_gk_proj_cgcs2000() function.

sdsfun 0.4.3 (2024-11-15)

• Add geodetector_q for the fast estimation of the geodetector q-value.

sdsfun 0.4.2 (2024-11-11)

• Add check_tbl_na and tbl_all2int functions to better support the gdverse and sesp packages.

sdsfun 0.4.1 (2024-10-16)

• Fix the bug that causes R to crash when the input x is a factor or character in the discretize_vector function (#12).

• Implement the formula_varname function to return the corresponding variable names from both formula and data.

sdsfun 0.4.0 (2024-10-08)

• Improve the handling of n-level categorical variables by generating n-1 dummy variables (#2).

• Add the spdep_lmtest function for spatial linear model selection (#3).

• Migrate the moran_test function from the geocomplexity package to sdsfun (#4).

• Implement the geographical detector's factor detector in ssh_test using Rcpp to enhance performance (#5).

• Introduce the discretize_vector function to support variable discretization (#6).

• Apply the loess_optnum function to select the optimal number of discretization intervals (#10).

• Implement spatial variance calculation in the spvar function, with support for both R and C++ implementations (#11).

• Rename dummy_vector to dummy_vec for consistency in naming conventions.

• Add the sf_coordinates function to extract coordinates from sf objects.

sdsfun 0.3.0 (2024-09-30)

• Begin to use Rcpp to complete some tasks with high computational complexity.

• Add dummy_vector and dummy_tbl functions for dummy variables generation.

• Add spdep_nb function for neighbours list generation.

• Add spdep_skater function for spatial constrained clustering.

• Add fuzzyoverlay function for spatial fuzzy overlay.

• Update package extdata; now sdsfun has two extdata: gzma.gpkg and pts.gpkg.

sdsfun 0.2.1 (2024-09-23)

• Enhance support for other types of spatial vector data.

• Inhibit the warning information produced by spdep.

• Add sf_utm_proj_wgs84() function.

sdsfun 0.2.0 (2024-09-15)

• Add sf_distance_matrix() function.

sdsfun 0.1.1 (2024-09-08)

• Update the function documentation for spdep_contiguity_swm() and spdep_distance_swm().

• Move the source code from SpatLyu/sdsfun on GitHub to stscl/sdsfun.

sdsfun 0.1.0 (2024-08-30)

• Initial CRAN submission.