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Plot Metrics for Generalized Linear Mixed Models (GLMM)

diagnostic_plot.Rd

This function generates a density plot of the specified metrics for the given list of generalized linear mixed models (GLMMs).

Usage

diagnostic_plot(list_tmb, focus = NULL)

Arguments

list_tmb

A list of GLMM objects to extract metrics from.

focus

A character vector specifying the metrics to focus on. Possible values include "AIC", "BIC", "logLik", "deviance", "df.resid", and "dispersion". If NULL, all available metrics will be plotted.

Value

A ggplot object displaying histogram plots for the specified metrics.

Examples

models_list <-  fitModelParallel(Sepal.Length ~ Sepal.Width + Petal.Length, 
                     group_by = "Species",n.cores = 1, data = iris)
#> Log file location: /tmp/RtmpS86cq0/htrfit.log
#> CPU(s) number : 1
#> Cluster type : PSOCK
diagnostic_plot(models_list, focus = c("AIC", "BIC", "deviance"))
#> Using group_id as id variables
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.