Displays concise parameter estimate information for an existing model fit.
precis( model , depth=1 , pars , ci=TRUE , prob=0.89 ,
corr=FALSE , digits=2 , warn=TRUE )Fit model object
If 1, suppresses vectors and matrices of parameters. If 2, displays all parameters
Optional character vector of parameter names to display
Show quadratic estimate confidence intervals
Width of posterior intervals
If TRUE, show correlations among parameters in output
Number of decimal places to display in output
If TRUE, warns about various things
A data frame with a row for each parameter. The n_eff and Rhat columns are calculated by rstan. Rhat4 indicates Rhat as defined in Gelman et al 2013 "Bayesian Data Analysis". This is different from the classic 1992 Gelman and Rubin definition, as Rhat4 uses more information from multiple chains.
Creates a table of estimates and standard errors, with optional confidence intervals and parameter correlations. Posterior intervals are quadratic estimates, derived from standard deviations, unless the model uses samples from the posterior distribution, in which case HPDI is used instead.
Can also provide expected value, standard deviation, and HPDI columns for a data frame.