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## File Name: anova_sirt.R
## File Version: 0.242
##############################################################
# anova rasch.mml
anova.rasch.mml <- function( object, ... )
{
cl <- match.call()
model1 <- object
model2 <- list(object, ... )[[2]]
res <- IRT.anova.sirt( model1, model2 )
cl <- paste(cl)[-1]
ind <- match( res$Model, c('model1', 'model2') )
res$Model <- cl[ind]
print(res)
invisible(res)
}
##############################################################
# anova smirt
anova.smirt <- anova.rasch.mml
##############################################################
# anova rasch.mirtlc
anova.rasch.mirtlc <- anova.rasch.mml
##############################################################
# anova gom
anova.gom <- anova.rasch.mml
##############################################################
# anova rm.facets
anova.rm.facets <- anova.rasch.mml
##############################################################
# anova rm.sdt
anova.rm.sdt <- anova.rasch.mml
##############################################################
# anova prob.guttman
anova.prob.guttman <- anova.rasch.mml
##############################################################
# anova xxirt
anova.xxirt <- anova.rasch.mml
##############################################################
##################################################################
IRT.anova.sirt <- function (object, ...)
{
cl <- match.call()
cl2 <- paste(cl)[-1]
if (length(list(object, ...)) !=2) {
stop('anova method can only be applied for comparison of two models.\n')
}
objects <- list(object, ...)
model1a <- objects[[1]]
model2a <- objects[[2]]
model1 <- IRT.IC(model1a)
model2 <- IRT.IC(model2a)
dfr1 <- data.frame(Model=cl2[1], loglike=model1['loglike'],
Deviance=-2 * model1['loglike'])
dfr1$Npars <- model1['Npars']
dfr1$AIC <- model1['AIC']
dfr1$BIC <- model1['BIC']
dfr2 <- data.frame(Model=cl2[2], loglike=model2['loglike'],
Deviance=-2 * model2['loglike'])
dfr2$Npars <- model2['Npars']
dfr2$AIC <- model2['AIC']
dfr2$BIC <- model2['BIC']
dfr <- rbind(dfr1, dfr2)
dfr <- dfr[ order(dfr$Npars), ]
dfr$Chisq <- NA
dfr$df <- NA
dfr$p <- NA
dfr[1, 'Chisq'] <- dfr[1, 'Deviance'] - dfr[2, 'Deviance']
dfr[1, 'df'] <- abs(dfr[1, 'Npars'] - dfr[2, 'Npars'])
dfr[1, 'p'] <- round(1 - stats::pchisq(dfr[1, 'Chisq'], df=dfr[1,'df']), 5)
for (vv in 2:(ncol(dfr))){
dfr[, vv] <- round(dfr[, vv], 5)
}
rownames(dfr) <- NULL
invisible(dfr)
}
##############################################################
# Likelihood ratio test for rasch.copula2 objects
anova.rasch.copula2 <- function( object, ... )
{
if (length(list(object, ...)) !=2){
stop('anova method can only be applied for comparison of two models.\n')
}
objects <- list(object, ...)
model1 <- objects[[1]]
model2 <- objects[[2]]
# define some necessary parameters
model1$AIC <- model1$ic$AIC
model1$BIC <- model1$ic$BIC
model1$loglike <- model1$deviance / (-2)
model1$Npars <- model1$ic$np
model2$AIC <- model2$ic$AIC
model2$BIC <- model2$ic$BIC
model2$loglike <- model2$deviance / (-2)
model2$Npars <- model2$ic$np
# test
dfr1 <- data.frame( Model='Model 1', loglike=model1$loglike,
Deviance=-2*model1$loglike )
dfr1$Npars <- sum(model1$Npars)
dfr1$AIC <- model1$AIC
dfr1$BIC <- model1$BIC
dfr2 <- data.frame( Model='Model 2', loglike=model2$loglike,
Deviance=-2*model2$loglike )
dfr2$Npars <- sum(model2$Npars)
dfr2$AIC <- model2$AIC
dfr2$BIC <- model2$BIC
dfr <- rbind( dfr1, dfr2 )
dfr <- dfr[ order( dfr$Npars ), ]
dfr$Chisq <- NA
dfr$df <- NA
dfr$p <- NA
dfr[1,'Chisq'] <- dfr[1,'Deviance'] - dfr[2,'Deviance']
dfr[1,'df'] <- abs( dfr[1,'Npars'] - dfr[2,'Npars'] )
dfr[1, 'p' ] <- round( 1 - stats::pchisq( dfr[1,'Chisq'], df=dfr[1,'df'] ), 5 )
for ( vv in 2:( ncol(dfr))){
dfr[,vv] <- round( dfr[,vv], 5 )
}
print(dfr)
invisible(dfr)
}
anova.rasch.copula3 <- anova.rasch.copula2
##############################################################
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