Skip to main content
Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Code code:"if (foo != bar)"
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Saves in:saves
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Results tagged with
Search options not deleted user 393633

Mixed (aka multilevel or hierarchical) models are linear models that include both fixed effects and random effects. They are used to model longitudinal or nested data.

4 votes
1 answer
63 views

Calculating variance of a dependent variable with multiple fixed effects

I am kind of a stats noob but I figure someone here may have some insight. I am running a linear mixed effects model in R, reminiscent of what's below: model <- lmer(rating ~ group * cond1 * cond2 + …
Shannon Cahalan's user avatar
1 vote
0 answers
120 views

Permutation testing with LME models

I need to compare two groups of participants to each other in a model that contains fixed and random effects in R. It was suggested to me that a non-parametric test might be ideal for these comparison …
Shannon Cahalan's user avatar
1 vote
0 answers
325 views

How to compute robust standard errors for a linear mixed effects model with two non-nested r...

I asked this question earlier this week but I hadn't really done my research yet or inquired into my error. So my data is heteroscedastic which has necessitated computation of robust standard errors t …
Shannon Cahalan's user avatar