plot.check_model_bh_GxE: Get ggplot to visualize output from...
In priviere/PPBstats: An R package to perform analysis found within PPB programmes

Description Usage Arguments Details Value Author(s) See Also

View source: R/plot.check_model_bh_GxE.R

plot.check_model_bh_GxE returns ggplot to visualize outputs from check_model.fit_model_bh_GxE

1 2	## S3 method for class 'check_model_bh_GxE' plot(x, nb_parameters_per_plot = 8, ...)

`x`	Output from `check_model.fit_model_bh_GxE`
`nb_parameters_per_plot`	number of parameter per plot to display
`...`	further arguments passed to or from other methods

S3 method.

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.

See example in the book: https://priviere.github.io/PPBstats_book/family-2.html#model-2

alpha_i : distribution of each alpha_i. There are as many graph as needed with nb_parameters_per_plot alpha_i per graph.
beta_i : distribution of each beta_i. There are as many graph as needed with nb_parameters_per_plot beta_i per graph.
theta_j : distribution of each theta_j. There are as many graph as needed with nb_parameters_per_plot theta_j per graph.
epsilon_ij : 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.