Edit of categorical variables, imputation of both categorical and continuous variables. The error localisation is performed by using the non deterministic Fellegi-Holt approach. Imputation can be carried out by a number of different techniques; (a)imputation by donor compatible with given edits, (b) imputation by marginal distributions, (c) imputation by minimum distance donor
4. Level of importance:
Strategic
5. Input format(s) (e.g. csv, xml,...):
Ascii files (fixed format)
6. Output format(s) (e.g. csv, xml,...):
Ascii files (fixed format)
7. Programming language(s):
Java, Fortran, C, Cobol
8. Code availability:
Open source
9. Charges:
Free of charge
10. Development status:
Beta
11. Operating system(s):
Windows
12. User/natural language:
Italian, English
13. Demo/trial version available?:
No
14. Do you provide training and/or consultancy for this software for other organisations?:
No
15. Do you provide support for this software for other organisations?:
No
16. Does detailed documentation exist for developers?:
No
17. Does detailed documentation exist for users of the software?:
No
18. In which language(s) is the documentation available?:
19. Please provide a link to any documentation available online:
20. Other documentation (please upload attachments or give details):
21. Please list other statistical organisations that are known to use this software:
KAS - Kosovo Agency of Statistics
BHAS-Agency for Statistics of Bosnia and Herzegovina
FIS-Institute for Statistics of Federation of Bosnia and Herzegovina
RSIS-Institute for Statistics of Republika Srpska
22. Other information:
23. Is the software compliant with the HLG vision?*:
partially
24. In which areas is the software compliant with the HLG compliance criteria?:
supports input and output of data & metadata in open format
If you are familiar with the phases and sub-processes of the Generic Statistical Business Process Model, please add labels to this page to categorise the software, using the 'Edit labels' option at the bottom left of the screen. Please choose from the existing labels e.g. 'gsbpm4_1' for GSBPM 4.1, 'select sample'. You can view the full list of phases and sub-processes here.
Other users of this software are encouraged to evaluate it and share their experiences using the comment option on this wiki page, or by e-mail to support.stat@unece.org