.check_ADMB_version     Check that the model is compiled with the right
                        version of ADMB which is 12.0 or later
.check_console_printing
                        Check if the session is interactive or Rstudio
                        which has implications for parallel output
.check_model_path       Check that the file can be found
.getADMBHessian         Read in admodel.hes file
.sample_admb            Hidden wrapper function for sampling from ADMB
                        models
.update_model           Convert model name depending on system
adfit                   Constructor for the "adfit" (A-D fit) class
adnuts                  adnuts: No-U-turn sampling for AD Model Builder
                        (ADMB)
as.data.frame.adfit     Convert object of class adfit to data.frame.
                        Calls 'extract_samples'
check_identifiable      Check identifiability from model Hessian
extract_sampler_params
                        Extract sampler parameters from a fit.
extract_samples         Extract posterior samples from a model fit.
is.adfit                Check object of class adfit
launch_shinyadmb        Launch shinystan for an ADMB fit.
launch_shinytmb         Launch shinystan for a TMB fit.
pairs_admb              Plot pairwise parameter posteriors and
                        optionally the MLE points and confidence
                        ellipses.
plot.adfit              Plot object of class adfit
plot_marginals          Plot marginal distributions for a fitted model
plot_sampler_params     Plot adaptation metrics for a fitted model.
plot_uncertainties      Plot MLE vs MCMC marginal standard deviations
                        for each parameter
print.adfit             Print summary of adfit object
sample_admb             Deprecated version of wrapper function. Use
                        sample_nuts or sample_rwm instead.
sample_inits            Function to generate random initial values from
                        a previous fit using adnuts
sample_nuts             Bayesian inference of an ADMB model using the
                        no-U-turn sampler (NUTS) or random walk
                        Metropolis (RWM) algorithms.
sample_tmb              Bayesian inference of a TMB model using the
                        no-U-turn sampler.
sample_tmb_hmc          Draw MCMC samples from a model posterior using
                        a static HMC sampler.
sample_tmb_nuts         Draw MCMC samples from a model posterior using
                        the No-U-Turn (NUTS) sampler with dual
                        averaging.
sample_tmb_rwm          [Deprecated] Draw MCMC samples from a model
                        posterior using a Random Walk Metropolis (RWM)
                        sampler.
summary.adfit           Print summary of object of class adfit
