modfit: Model fit

In bmggum: Bayesian Multidimensional Generalized Graded Unfolding Model

Description

This function provides model fit statistics.

Usage

modfit(x, index = "loo")

Arguments

x

returned object

index

Model fit indices. They can be "waic", which is the widely applicable information criterion, "loo", which is the leave-one-out cross-validation, or "chisq.df", which is the adjusted chi-square degrees of freedom ratios for each trait separately that were introduced by Drasgow et al. (1995). The default is loo. Note that chisq.df can only be computed when the sample size is large. See documentation for loo and GGUM for more details.

Value

Selected model fit statistics

Examples

Data <- c(1,4,2,3)
Data <- matrix(Data,nrow = 2)
deli <- c(1,-1,2,1)
deli <- matrix(deli,nrow = 2)
ind <- c(1,2)
ind <- t(ind)
cova <- c(0.70, -1.25)
mod <- bmggum(GGUM.Data=Data,delindex=deli,trait=2,ind=ind,option=4,covariate=cova,iter=5,chains=1)
waic <- modfit(mod, 'waic')

bmggum documentation built on April 9, 2021, 9:09 a.m.