precis: Precis of model fit
In joepowers16/rethinking: Statistical Rethinking book package

Description Usage Arguments Details Value Author(s)

Displays concise parameter estimate information for an existing model fit.

1 2	precis( model , depth=1 , pars , ci=TRUE , prob=0.89 , corr=FALSE , digits=2 , warn=TRUE )

`model`	Fit model object
`depth`	If `1`, suppresses vectors and matrices of parameters. If `2`, displays all parameters
`pars`	Optional character vector of parameter names to display
`ci`	Show quadratic estimate confidence intervals
`prob`	Width of posterior intervals
`corr`	If `TRUE`, show correlations among parameters in output
`digits`	Number of decimal places to display in output
`warn`	If `TRUE`, warns about various things

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.

A data frame with a row for each parameter.

Richard McElreath

joepowers16/rethinking documentation built on June 2, 2019, 6:52 p.m.