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).
Maintain the same results for st_unidisc
and ClassInt::classify_intervals
(#5).
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.
Using new example data in the vignettes for spade
and idsa
.
Adding the esp
function to the package.
Unify all vignettes filenames to lowercase.
Support for using the sf
object as input in all models.