lme_summary: Quickly summarize the linear model posteriors
In bstaton1/FitSR: Functions to Fit and Summarize SRA Models

Quickly summarize the linear model posteriors

1 2	lme_summary(post, params, seed = NA, diag_plots = F, plot_dir = NULL, return_post = F)

`post`	an object of class `mcmc.list`
`params`	a list object created by `SimFit::init_sim()` or `kusko_data_prep()$params`. Contains the driving parameters and dimensional variables.
`seed`	a numeric vector of length 1: represents a secondary identifier. Typically would be used to identify the seed. To exclude, set to the default: `NA`.
`diag_plots`	logical. Do you wish to save traceplots and density plots for convergence diagnostics? Defaults to `FALSE`.
`plot_dir`	character vector representing the directory or full path to the location where you wish to save the plot files, if `diag_plots = TRUE`. Defaults to `NULL`, which will place the files in the working directory.
`return_post`	logical. Do you wish to return a list with elements equal to `$ests` (the standard estimate summary), `$post_lm` (the updated mcmc.list object for the LM method), and `$post_lme` (the updated mcmc.list object for the LME method)? Defaults to `FALSE`.