Questions tagged [crossed-random-effects]
Crossed random effects refers to 2+ sets of random effects where levels of 1 random effect can occur in multiple levels of another. Eg, students in classrooms are nested, but students reading different stories could be crossed.
63 questions
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What structure of mixed model should be used for experimental repeated measures data like this?
Background
I have data in a similar form to that described in this question: What statistical test(s) should I use for this kind of repeated measures data?
The answers to that question suggested some ...
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Mixed-effects model: plot-level response, year-level covariates; cross-random effects needed?
I have ~20 years of data at one site, with plot-level productivity (3 permanent plots measured annually) and one plot-level predictor (composition; measured within the same 3 plots). All other ...
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Predictive variances with lme4 in R (accounting for random effects)
Consider a linear mixed effects model with two crossed random effects:
y ~ X * beta + Z * b + epsilon.
Is it possible to obtain predictive variances for such a ...
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Nested, Crossed or both random effects
I am building a GLMM model with a binomial response variable, and I am having trouble determining which combination or nested or crossed effects to use. My situation is the following:
1.) I have ...
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Multilevel Modelling with Crossed and Nested Factors in R
I am trying to create a model to determine the effects of Stations and Circuits (and any interaction) on students scores in an OSCE exam, using the lmer function in R.
I have 3 factors: circuit $\beta$...
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Predicting current area-level counts from repeated cross sectional presence/absence surveys
Problem statement
I’m trying to predict the “current” distribution of wood-burning fireplaces at ZIP code level across 9 California counties based on 15 years of surveys with presence/absence data on ...
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lmer (lme4) nested random structure gives singular fit
I'm running the following model on some reaction time data:
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How my linear mixed effect model should look like? [duplicate]
I want to fit a linear mixed effect model with a response variable called "PhiPS2", along with independent variables such as habitat, season, and species. However, I'm not sure which of ...
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Random effects without repeated measures?
As I understand it, random effects are good for repeated measure designs where a random intercept, for example, represents deviations from an over-all trend. Given data with many grouping factors, ...
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Mixed model with nested and crossed random effects
I'm new to mixed effects models and am trying to use the lmer() function from the lme4 R package to specify a random effects ...
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Physical model for multilocation RCBD with repeated measures in time
I am trying to write a model for an experimental design that looks like this:
There are 5 farms (A,B,C,D,E) , and each farm has a RCBD design with 2 treatments(1,2) randomized in 4 blocks in each farm....
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crossed random effects in nonlinear mixed-effects model
I am a beginner in mixed effects modeling and am trying to find some useful code to solve my current problem. Specifically, I'm having some problems with model fitting. I'm looking for a ...
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Specify a correlation between two cross-classified random variables in a mixed-effect model
I posted this question in a different version on R-sig-mixed-models and received no reply. I am trying my luck here. I am trying to emulate an ANOVA-based approach to analyzing round-robin data with a ...
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Specifying a mixed effects model with repeated constructs but cross-sectional observations (crossed vs. nested data at three levels)
I have a question about specifying a mixed model with crossed data across multiple levels. Consider the following situation:
Let’s say I collected data on Americans’ perceptions about the importance ...
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How to specify random slopes when random effects are nested or crossed
I'm trying to run a model which has 3 random effects. Its data on an animal species and the random effects are 'group', 'mother' and 'individual'. Individual should be nested within mother, and then ...
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