Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
baysc: An R package for Bayesian survey clustering
Saved in:
| Published in: | Journal of Open Source Software |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1864030191433547778 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Journal of Open Source Software |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:9942 |
| institution | FRELIP |
| journal_source_facet | Journal of Open Source Software |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | baysc: An R package for Bayesian survey clustering Computer Science & Information Science Computer Science & IT Engineering & Technology |
| sub_discipline_display | Computer Science & IT |
| sub_discipline_facet | Computer Science & IT |
| subject_display | Computer Science & Information Science Computer Science & IT Engineering & Technology Computer Science & Information Science Computer Science & IT Engineering & Technology |
| subject_facet | Computer Science & Information Science Computer Science & IT Engineering & Technology |
| title | baysc: An R package for Bayesian survey clustering |
| title_auth | baysc: An R package for Bayesian survey clustering |
| title_full | baysc: An R package for Bayesian survey clustering |
| title_fullStr | baysc: An R package for Bayesian survey clustering |
| title_full_unstemmed | baysc: An R package for Bayesian survey clustering |
| title_short | baysc: An R package for Bayesian survey clustering |
| title_sort | baysc: an r package for bayesian survey clustering |
| topic | Computer Science & Information Science Computer Science & IT Engineering & Technology |
| url | https://joss.theoj.org/papers/10.21105/joss.08382 |