Timeline for Estimating the contribution of covariates in a boral latent variable model
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Aug 8, 2018 at 0:47 | comment | added | Ch16S | I see your point. I know this is not exactly what you want, but you could take the mean/median of the variance decomposition across your set of species. This could act as a proxy to show the average variance explain by your covariates and the residual variance. One more thing,how does the ordination of your correlated response model compare to the pure latent variable model? are the points less dispersed? | |
| Jul 30, 2018 at 6:23 | comment | added | michael | If I understand correctly, the calc.varpart function decomposes variance at the species level. Ideally I would like to report on something similar at the overall level. | |
| Jun 5, 2018 at 0:07 | review | Late answers | |||
| Jun 5, 2018 at 0:35 | |||||
| Jun 4, 2018 at 23:52 | review | First posts | |||
| Jun 5, 2018 at 5:58 | |||||
| Jun 4, 2018 at 23:52 | history | answered | Ch16S | CC BY-SA 4.0 |