Special Feature: New Opportunities at the Interface Between Ecology and Statistics
Model-based approaches to unconstrained ordination
Article first published online: 18 AUG 2014
© 2014 The Authors. Methods in Ecology and Evolution © 2014 British Ecological Society
Methods in Ecology and Evolution
Volume 6, Issue 4, pages 399–411, April 2015
How to Cite
Hui, F. K.C., Taskinen, S., Pledger, S., Foster, S. D., Warton, D. I. (2015), Model-based approaches to unconstrained ordination. Methods in Ecology and Evolution, 6: 399–411. doi: 10.1111/2041-210X.12236
- Issue published online: 11 APR 2015
- Article first published online: 18 AUG 2014
- Accepted manuscript online: 23 JUL 2014 02:52AM EST
- Manuscript Accepted: 16 JUL 2014
- Manuscript Received: 9 JUN 2014
- University of New South Wales
- CSIRO PhD Scholarship
- Academy of Finland. Grant Number: 256291
- Australian Government's National Environmental Research Program (NERP)
- Australian Research Council Future Fellowship
Appendix S1. Theoretical details for latent variable models.
Appendix S2. Additional results for worked examples.
Appendix S3. Additional results for simulations.
Appendix S4. Additional results for COMPAS simulations.
Appendix S5. Example R code for performing the simulation studies.
Appendix S6. Example R code for fitting latent variable models.
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