Timeline for How to simulate data of a random intercept effect model in R?
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 2, 2022 at 0:00 | history | tweeted | twitter.com/StackStats/status/1520916048907755520 | ||
| Apr 16, 2022 at 0:57 | vote | accept | user10386405 | ||
| Apr 13, 2022 at 0:18 | history | edited | user10386405 | CC BY-SA 4.0 |
deleted 1 character in body; edited tags
|
| Apr 12, 2022 at 23:50 | history | edited | user10386405 | CC BY-SA 4.0 |
added 101 characters in body
|
| Apr 12, 2022 at 20:52 | history | became hot network question | |||
| Apr 12, 2022 at 14:48 | answer | added | Demetri Pananos | timeline score: 3 | |
| Apr 12, 2022 at 13:58 | answer | added | Gregg H | timeline score: 2 | |
| Apr 12, 2022 at 13:46 | comment | added | Xi'an | This is a hierarchical model. One starts with the upper layers, ie simulating the $\epsilon_{ij}$ and $u_{0,i}$'s, and continues with the lower layers, ie simulating the $Y_{ij}$'s. In case the $x_{ij}$ are not fixed, they should be simulated as well, from an arbitrary distribution. | |
| Apr 12, 2022 at 13:16 | review | Close votes | |||
| Apr 12, 2022 at 15:32 | |||||
| Apr 12, 2022 at 12:48 | history | asked | user10386405 | CC BY-SA 4.0 |