Missing Values Imputation

[yurismol]

Who care. I added a procedure for missing values imputation using the prediction power of Random Forests ​​(R missForest library) to the jYS module. Ready for criticism.

[yurismol]

jYS version 1.0.7 is included in the Jamovi library and contains the missRanger imputation method

[yurismol]

jYS version 1.0.8 released today and consists classify missing data as missing completely at random (MCAR), missing at random (MAR) and missing not at random (MNAR) from missr package (Noah Hellen, 2025)