Changes in version 1.7                         

                  Changes in version 1.6 (2026-02-09)                   

  - Fix stratification collision in interaction detection (#101).

  - Loading gdverse no longer initializes the RNG state (#99).

  - Update package startup message and citation guidance (#97).

  - Report significance of interaction detection results in geographical
    detector (#95).

  - Improve robustness of non-centrality parameter estimation for
    q-statistic confidence intervals (#93).

                 Changes in version 1.5.1 (2025-10-15)                  

  - Wrap python-dependent examples in tryCatch to avoid check failures
    (#82).

                  Changes in version 1.5 (2025-10-10)                   

  - Refactor cpd_disc() for improved parallel stability and reticulate
    compatibility (#77).

  - Update python dependency configuration and usage (#74).

  - Eliminate warnings about the size aesthetic for lines in plot S3
    methods (#71).

                 Changes in version 1.3-3 (2025-04-02)                  

  - Add pkg citation information (#61).

                 Changes in version 1.3-2 (2025-02-17)                  

  - Experimentally support computing confidence intervals for the q
    statistic in factor_detector (#51).

  - Support adjusting the font size of q-value labels in the factor
    detection result plot (#49).

  - Rename gd_bestunidisc() as gd_optunidisc() (#39).

  - Specify that the cores parameter in all functions of the gdverse
    package currently supports only positive integer inputs (#36).

  - Update the documentation on Python dependency configuration in the
    rgdrid vignette (#30).

  - Discuss the consistency with the results of existing geographical
    detector R packages (#28).

  - Update the calculation method of pseudo p-values for the SPADE model
    (#26).

                 Changes in version 1.3-1 (2024-12-14)                  

  - Fix bugs of gd,opgd,gozh,srsgd plot s3 methods (#23).

                  Changes in version 1.3 (2024-11-16)                   

  - Redundant functions consolidated and migrated to sdsfun for
    maintenance (#22).

  - Reorganize the parallel computing section in gdverse (#21).

  - Align the RGD model with the original algorithm presented in paper
    (#20).

  - Now gdverse requires sdsfun with a minimum version of 0.4.3 (#19).

  - Transfer isp-related concepts and functions to the cisp package
    (#18).

  - Modify the default font settings in the gdverse S3 plotting methods
    (#17).

                  Changes in version 1.2 (2024-11-07)                   

  - Set the default number of discretizations in gdverse to range from 3
    to 8 (#15).

  - Optimize the Python integration setup in gdverse (#14).

  - Now opgd() returns optimal discretization parameters (#13).

  - Force data to tibble format in gdverse GDMs model function (#12).

  - Align the RID model and algorithm with the original framework
    presented in paper (#9).

  - Beautify the narrative and other writing details in the vignettes,
    without making any changes at the user level.

                 Changes in version 1.1-1 (2024-10-17)                  

  - Clear the WORDLIST to ensure the source code remains clean and
    organized.

  - Migrate the source code from ausgis/gdverse to stscl/gdverse on
    GitHub.

                 Changes in version 1.1.0 (2024-10-10)                  

  - The general variable discretization in gdverse now utilizes
    sdsfun::discretize_vector() (#6).

  - Algorithm functions are migrated to sdsfun (#8).

                 Changes in version 1.0-3 (2024-09-30)                  

  - Update the RGD Model API Settings (#2).

  - Fix bug caused by changes in default parameters of opgd in sesu_opgd
    (#4).

  - The parameter overlaymethod in rid and idsa has been renamed to
    overlay.

  - Add readr as a dependence of type Suggests.

  - Recompile vignettes due to internal function changes.

                 Changes in version 1.0-2 (2024-09-23)                  

  - When the discvar input for the opgd, rgd, rid, spade functions is
    NULL, it is assumed that all independent variables in the formula
    need to be discretized.

  - Updating the S3 method for plotting various factor detectors to
    better conform to academic publication requirements.

                 Changes in version 1.0-1 (2024-09-16)                  

  - Unify all vignettes filename to lowercase.

  - Support for using the sf object as input in all models.

                 Changes in version 1.0.0 (2024-09-09)                  

  - First stable release.