All Questions
Tagged with lme4-nlme hierarchical-bayesian
9 questions
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Opposite results using Bayesian (STAN) vs Multilevel model (nlme). How is this possible?
My datasets contains the median wages and the cumulative installed wind-capacity for 4000 counties over a period of 20 years. The wages tend to rise over the period and the capacity tends to highly ...
- 11
1
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Determining the number of interactions between the independent variables
I am trying to use GLMMs models to analysis the morbidity status of child (yes or no) with mother’s demographic and environmental factors like
Wealth with factors ("Lower quartiles”,"...
1
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0
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47
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Variance of random effects in lmer output
Consider this simple simulated dataset (all groups are normally distributed with sd=1) made up by 4 level 1 groups (lv1) and 2 level 2 groups. The mean of the 4 distribution is 5, 15, 5 and 15 ...
- 133
4
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minimum amount of prior to get a mixed-model to converge (in R)
This may be a simple/naive question, but I have a non-converging lmer() model due to singularity of its random covariance matrix.
I was wondering what is a possible ...
- 4,056
1
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173
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Equivalency of regularization among LME, Bayesian and penalized least squares
Suppose that we have a linear mixed-effects (LME) model
$\boldsymbol{y}=X\boldsymbol{\beta} + Z\boldsymbol{u} + \epsilon$
where $y$ is an $n \times 1$ vector of responses and $X$ and $Z$ are design ...
- 2,769
1
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re.form specifying one random effect but not the other
I have fitted a multilevel model using stan_lmer that has two sets of varying intercepts, one for categories and one for subjects. The code essentially looks like ...
- 23
3
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2
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402
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Bayesian output vs frequentist. Which should I rely on? MLM/ RE HLM
I have 2 questions.
1)My Bayesian output is providing some trouble. I have data that will vary across 5 countries. This means my group level has a small n of 5. This results in my data hovering ...
- 35
2
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130
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How to model a multiplicative effect of a parameter
I am having difficulty in fitting a model on data. Basically, I have data about the evaluation of phenotypic property (i.e. hard) of 65 palm trees by 5 judges. As an evaluation scheme, each judge ...
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11
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Hierarchical models for multiple comparisons - multiple outcomes context
I've just been (re-)reading Gelman's Why we (usually) don't have to worry about multiple comparisons. In particular the section "Multiple outcomes and other challenges" mentions using a hierarchical ...
- 3,359