Displays concise parameter estimate information for an existing model fit.
precis( model , depth=1 , pars , ci=TRUE , level=0.95 ,
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 confidence 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.
Creates a table of estimates and standard errors, with optional confidence intervals and parameter correlations. Confidence intervals are quadratic estimates, derived from standard errors, unless the model uses samples from the posterior distribution, in which case HPDI is used instead.
Supported model classes include lm, mle2, mer, and polr. Can also provide expected value, standard deviation, and HPDI columns for a data frame, on the assumption that the columns in the data frame are the product of a Markov chain.