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Questions - glmmtmb

Error: requires numeric/complex matrix/vector arguments for %*%; cross validating glmmTMB model

I am adapting some k-fold cross validation code written for glmer/merMod models to a glmmTMB model framework. All seems well until I try and use the output from the model(s) fit with training data to ...
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Charlie_J

matrix

matrix-multiplication

cross-validation

lme4

glmmtmb

Votes: 0

Answers: 1

Latest Answer

Without looking at the code too carefully: glmmTMB::fixef(reg) returns a list (with elements cond (conditional model parameters), zi (zero-inflation parameters), disp (dispersion parameters) rather th...
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Ben Bolker

How to resolve GLMM residuals pattern , spatial correlation and zero distance error?

When I conducted data analysis, I encountered an serious problem. I want to research how a Treatment intensity would influence response variable y. The field investigation was conduced at different S...
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PeterPanPan

r

nlme

autocorrelation

glmmtmb

Votes: 0

Answers: 1

Latest Answer

tl;dr the spatial pattern can be well explained by a spatial trend (x-y plane), you don't need an autocorrelation model. (If you did you might also try fitting this model in mgcv.) Packages: library(g...
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Ben Bolker

How to plot predicted data of a GLMM from the package glmmTMB?

i have the following data and created a model with the package glmmTMB in R for plant diameters ~ plant density (number of plants) with a random plot effect: d <- data.frame (diameter = c(17,16,15,...
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Schneiderhansl

r

plot

regression

mixed-models

glmmtmb

Votes: 0

Answers: 1

Latest Answer

The ggeffects package makes this type of thing very easy to implement and customize. For example library('ggplot2') library('glmmTMB') library('ggeffects') d <- data.frame (diameter = c(17,16,15,13...
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SushiChef

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