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Changelog

Source: NEWS.md

sdsfun 0.9.0

sdsfun 0.8.1

CRAN release: 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

CRAN release: 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

CRAN release: 2025-01-13

sdsfun 0.6.0

CRAN release: 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

CRAN release: 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

CRAN release: 2024-11-15

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

sdsfun 0.4.2

CRAN release: 2024-11-11

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

sdsfun 0.4.1

CRAN release: 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

CRAN release: 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

CRAN release: 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

CRAN release: 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

CRAN release: 2024-09-15

sdsfun 0.1.1

CRAN release: 2024-09-08

sdsfun 0.1.0

CRAN release: 2024-08-30

  • Initial CRAN submission.