Displays concise parameter estimate information for an existing model fit.
precis( model , type.s=FALSE , ci=TRUE , level=0.95 , corr=FALSE )Fit model object
Show Type-S error probabilities for each estimate
Show quadratic estimate confidence intervals
Width of confidence intervals
If TRUE, show correlations among parameters in output
A data frame with a row for each parameter.
Creates a table of estimates and standard errors, with optional confidence intervals and Type-S error probabilities. Confidence intervals are quadratic estimates, derived from standard errors. Type-S probabilities are also derived from normal approximation to posterior of each parameter.
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.
McElreath 2011, Statistical Rethinking.