Timeline for Extract the different components of variance in a linear mixed model in R
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
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| Jul 11, 2020 at 4:31 | comment | added | Vitor Vieira Vasconcelos | The performance package in R can measure "conditional R2" (random & fixed effects together), "marginal R2" (random effect alone), adjusted ICC (fixed effect alone) & "conditional ICC" (fixed effect controlling by random effect). The theory behind it is in this paper: Nakagawa, S., Johnson, P. C., & Schielzeth, H. (2017). The coefficient of determination R 2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded. Journal of the Royal Society Interface, 14(134), 2017021 | |
| Jul 23, 2016 at 20:16 | answer | added | Robert Long | timeline score: 5 | |
| S Jul 23, 2016 at 13:00 | history | suggested | Yuri Robbers | CC BY-SA 3.0 |
corrected the MWE so that it actually works (lmerTest, an essential package, was not loaded) and fixed a typo.
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| Jul 23, 2016 at 12:47 | review | Suggested edits | |||
| S Jul 23, 2016 at 13:00 | |||||
| Jul 23, 2016 at 11:43 | history | asked | Crops | CC BY-SA 3.0 |