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).
tryCatch to avoid
check failures (#82).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).
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).
gd,opgd,gozh,srsgd
plot s3 methods (#23).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).
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.
Clear the WORDLIST to ensure the source code remains
clean and organized.
Migrate the source code from ausgis/gdverse to
stscl/gdverse on GitHub.
The general variable discretization in gdverse
now utilizes sdsfun::discretize_vector() (#6).
Algorithm functions are migrated to sdsfun
(#8).
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.
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.
Unify all vignettes filename to lowercase.
Support for using the sf object as input in all
models.
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