compare: Compare fit models using WAIC or DIC
In joepowers16/rethinking: Statistical Rethinking book package

Description Usage Arguments Details Value Author(s)

Returns a table of model comparison statistics, by default focused on WAIC.

1 2	compare( ... , n=1e3 , sort="WAIC" , func=WAIC , WAIC=TRUE , refresh=0 ) ICweights( dev )

`...`	A series of fit models, separated by commas
`n`	Number of samples from posterior to use in computing WAIC/DIC
`sort`	Sort table by ascending values in named column
`func`	Function to use in computing criteria for comparison
`WAIC`	Deprecated: If `TRUE`, uses `func` for comparison. If `FALSE`, uses DIC.
`refresh`	Progress display update interval. 0 suppresses display.
`dev`	Vector of values to use in computing model weights

This function computes WAIC and optionally DIC values for fit models and returns a table sorted by ascending values. Each row in this table is a model, and the various columns provide WAIC, effective numbers of parameters, model weights, and standard errors.

A plot method is supported, for graphic display of the information criteria.

An object of class compareIC with slots output (table of results) and dSE (matrix of standard errors of differences in IC between pairs of models).

Richard McElreath

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