Questions tagged [brms]
brms is an R package interfacing stan for Bayesian analysis
91 questions
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Negative Bayes Factors for one parameter with hypothesis() [closed]
I am aware that a similar question has been asked here: Negative bayes factor and how to fix it but it was never answered.
I have fitted some Bayesian models. Everything is looking normal, except for ...
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147
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How do I fix my formula for underdispersion?
I have previously asked here regarding glmm models in R. I am new with brms and glmm models ...
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160
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Multinomial models interaction on probability
I have been experimenting with brms over the past few days, and there is something I can’t quite figure out concerning the approach with logistic regression and log-odds to probability transformations....
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Repeatability (ICC) for negative binomial and beta models
I am estimating repeatability (a type of intra-class correlation) from mixed models with negative binomial and beta distributions and want to confirm that the variance transformations to obtain ...
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143
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Frequentist alternatives to brms for mediation analysis with ordinal outcomes
I'm interested in conducting a mediation analysis with ordinal outcomes, and have not been able to find too many resources. I apologize if I've missed any.
My model contains:
X --> M --> Y
where ...
2
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158
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poor parameter recovery in brms from simulated vigniette experiment
I design a vigniette experiment about social norms: There is a social-media post about reducing meat consumption which varies the actor (stranger, friend, relatie), the amount of the reduction (no ...
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57
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Ensuring continuity between two ordinal brms GAMs before and after heat stress peak
I’m working on a Bayesian ordinal regression model using brms to estimate coral bleaching severity levels (4 categories: None, Mild, Moderate, Severe) based on thermal stress.
My data consists of two ...
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121
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Discrepancy in point estimate and standard error of random effect variance component between Bayesian and frequentist GLMMs
I am investigating the properties of a GLMM with Beta response distribution and a hurdle component to model the probability of observing a zero. I have fit a frequentist version of the model using the ...
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Dealing with small sample size and many predictors in (G)LMM framework or Bayesian multivariate models
I am exploring relationships between physiological metrics (responses) and environmental conditions (predictors) in a wildlife species. The physiological metrics are "novel" for my study ...
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Interpreting multivariate probit models
I've attempted to use some stats which are definitely a bit beyond me as my most advanced stats before was just an ANOVA, but it seemed to fit my data well and am finding it fun to mess around with. ...
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125
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Best way to compare variance between two treatments with repeated measures and uneven samples?
I am trying to determine whether the variation in a response differs between two treatment groups, I am curious what others think of my current strategy and I have some outstanding questions that I ...
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Specifying fixed effect in non linear model using Brms
I try to add a fixed effect in a nonlinear binomial model with brms but I obtain weird result. The model is a kind of logistic model. The fit works fine when the effect is added as random effect but ...
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What is happening when I model the sigma term in a glmm with a Gaussian distribution in brms
If I am interested in understanding the effect of an interaction between treatment and covariates on the variance of my response, as well as how they may affect the mean of my response, can I write a ...
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109
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How to model changes in circular mean and concentration based on predictors?
I want to fit a mixed model to determine a treatment's effect on a circular response variable (the variable is an angle measured in radians). I want to know how treatment changes both the mu (mean) ...
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Determining optimal response distribution for modeling growth curves of NFL players’ fantasy football points in brms
I'm trying to model age-related trajectories (i.e., growth curves) of National Football League (NFL) players' fantasy points using a mixed model in R using ...