check_model.fit_model_bh_intra_locationR/plot.check_model_bh_intra_location.R
plot.check_model_bh_intra_location.Rdplot.check_model_bh_GxE returns ggplot to visualize outputs from check_model.fit_model_bh_intra_location
# S3 method for check_model_bh_intra_location plot(x, nb_parameters_per_plot = 8, ...)
| x | Output from |
|---|---|
| nb_parameters_per_plot | number of parameter per plot to display |
| ... | further arguments passed to or from other methods |
sigma_j_gamma : mean of each sigma_j displayed on the inverse Gamma distribution.
The first graph represent all the sigma_j, the other graph represent nb_parameters_per_plot sigma_j per graph.
mu_ij : distribution of each mu_ij in a list with as many elements as environment.
For each element of the list, there are as many graph as needed with nb_parameters_per_plot mu_ij per graph.
beta_jk : distribution of each beta_jk in a list with as many elements as environment.
For each element of the list, there are as many graph as needed with nb_parameters_per_plot beta_jk per graph.
sigma_j : distribution of each sigma_j.
There are as many graph as needed with nb_parameters_per_plot sigma_j per graph.
epsilon_ijk : standardised residuals distribution. If the model went well it should be between -2 and 2.
mcmc_not_converge_traceplot_density : a list with the plots of trace and density to check the convergence of the two MCMC only for chains that are not converging thanks to the Gelman-Rubin test. If all the chains converge, it is NULL.
S3 method.
See example in the book: https://priviere.github.io/PPBstats_book/family-2.html#model-1
For mcmc_not_converge_traceplot_density : If you wish exhaustive information, look at ggmcmc::ggmcmc with ggmcmc(out_model$MCMC).
But be careful with the size of your MCMC output which are often too big to be performed in R.