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Results tagged with mixed-model
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user 13038
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.
2
votes
0
answers
696
views
Overfitting in GLMM
I have fit a mixed model with lmer() and am left with 4 significant interaction terms.
There were found by removing the interaction term and comparing with the full model using anova(fm1, fm2). I ha …
- 1,193
5
votes
1
answer
4k
views
Standard Deviation of Random effect is 0?
I have a model with two random effects
> lmer(TotalPayoff~Type+Game+PgvnD*Asym+(1|Subject)+(1|Pairing),REML=FALSE,data=table)-
>m1
each pairing contains 2 subjects and each Subject is in 2 diff …
- 1,193
2
votes
1
answer
2k
views
Fixed effects have df=0 and chi-sq=0 when tested using anova()
I have a made a linear mixed model using lmer().
I began with a maximal model containing 6 terms and all two-way interactions (15 total), I also have a random effect of subject ID. Of these terms, …
- 1,193
3
votes
1
answer
7k
views
Proper use of weights argument in linear mixed model [lme()]?
After attempting to produce a linear mixed model I was left with a great deal of heterogeneity.
lme1 <- lme(Average.payoff ~ Game + Type + Others.Type + Game:Type +
Game:Others.Type + Type:Others. …
- 1,193
4
votes
1
answer
21k
views
If using Glmm with Gamma distribution do i need to transform my data to be between 0 and 1?
When creating a Glmm with Gamma distribution do I need to transform my response variable data to be between 0 and 1?
- 1,193
3
votes
1
answer
3k
views
Should I keep or remove random effects?
After attempting to produce a linear mixed model, I was left with a great deal of heterogeneity.
lme1 <- lme(Average.payoff ~ Game + Type + Others.Type + Game:Type +
Game:Others.Type + Type:Others …
- 1,193
9
votes
1
answer
986
views
What to do with heterogeneity of variance when spread decreases with larger fitted values
I am trying to produce a linear mixed model the R code is as follows.
lme(Average.payoff~Game+Type+Others.Type+Game:Type+Game:Others.Type+Type:Others.Type,random=~1|Subjects,method="REML", data=Su …
- 1,193
3
votes
1
answer
5k
views
Random-effects probit model
I am currently using a mixed binomial model with the following specification in a paper I recently submitted (using lme4):
m1<-glmer(y~X1*X2*X3+(1|Subject.ID),data=data,family="binomial")
X1 and X2 …
- 1,193
3
votes
0
answers
725
views
Mixed logistic model with complete separation [duplicate]
I want am trying to produce a mixed logistic model but certain explanatory variables suffer from complete separation. I am aware that I need to either use exact logistic regression or a firth correcti …
- 1,193
8
votes
1
answer
61k
views
Correct interpretation of Lmer output
I have produced the following model:
>lmer(TotalPayoff~PgvnD*Type+Type*Asym+PgvnD*Asym+Game*Type+Game*PgvnD+Game*Asym+
(1|Subject)+(1|Pairing),REML=FALSE,data=table1)->m1
PgvnD=A …
- 1,193
1
vote
1
answer
492
views
Missing values in GLMM
I am creating a GLMM based on a experiment where each subject has 2 repeats. In some instances though there is only data for one of a given subjects repeats for most there is data for both. Can I stil …
- 1,193
8
votes
3
answers
4k
views
regression with non-independent data
I will be performing regression on subjects total scores from 2 player games (prisoners dilemma) that they will be playing. I am aware that including both players score from a game will cause problems …
- 1,193
30
votes
6
answers
21k
views
Beta regression of proportion data including 1 and 0
I am trying to produce a model for which I have a response variable which is a proportion between 0 and 1, this includes quite a few 0s and 1s but also many values in between. I am thinking about atte …
- 1,193
5
votes
3
answers
1k
views
Troublesome residual plot from linear mixed model
I have fitted the following linear mixed model based on the results of an economic game:
lmer(TotalScore~perOOgivenP+Game+(1|Subject),REML=T,data=mdl1table)->m1
TotalScore is a integer.
perOOgivenP …
- 1,193