plot.check_model_bh_variance_intra: Get ggplot to visualize output from...

In priviere/PPBstats: An R package to perform analysis found within PPB programmes

Description

plot.check_model_bh_variance_intra returns ggplot to visualize outputs from check_model.fit_model_bh_variance_intra

Usage

## S3 method for class 'check_model_bh_variance_intra'
plot(x,
  nb_parameters_per_plot = 10, ...)

Arguments

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

Details

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-4.html#variance-intra

Value

• mu_ijk : distribution of each mu_ijk. There are as many graph as needed with nb_parameters_per_plot alpha_i per graph.

• sigma_ij : distribution of each sigma_ij. There are as many graph as needed with nb_parameters_per_plot alpha_i per graph.

• 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.

Author(s)

Gaelle Van Frank and Pierre Riviere

See Also

check_model.fit_model_bh_variance_intra

priviere/PPBstats documentation built on May 6, 2021, 1:20 a.m.