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anova.aodml <- function(object, ...) {
#### copied from anova method for lmer (packages Matrix / lme4)
mCall <- match.call(expand.dots = TRUE)
dots <- list(...)
modp <- sapply(dots, inherits, "aodml")
mods <- c(list(object), dots[modp])
names(mods) <- sapply(as.list(mCall)[c(FALSE, TRUE, modp)], as.character)
####
n <- length(mods)
if(n < 2)
stop("At least 2 valid models are needed.")
dfr <- data.frame(
df.resid = rep(NA, n), df.model = rep(NA, n), "2 x Log-lik" = rep(NA, n),
AIC = rep(NA, n), AICc = rep(NA, n), BIC = rep(NA, n),
Test = rep(NA, n), df = rep(NA, n), "LR stat." = rep(NA, n),
"P(>LR stat.)" = rep(NA, n), check.names = FALSE
)
mod <- vector(mode = "character", length = length(mods))
# utility function to remove white spaces at the beginning and at the end of character strings
tr <- function(string) gsub("^[[:space:]]+|[[:space:]]+$", "", string)
for(i in seq(n)){
# fm <- get(nam[i])
fm <- mods[[i]]
# model name and formula
# paste + tr are necessary when there are interaction terms in the formula
fb <- paste(tr(deparse(fm$formula)), collapse = " ")
ft <- deparse(fm$phi.formula)
mod[i] <- paste(names(mods)[i], ": ", "Mu = ", fb, " ; Phi = ", ft, " ($phi = ", round(fm$phi, 4), ")", sep = "")
# anova table
akic <- AIC(fm)
df.resid <- df.residual(fm)
df.model <- fm$df.model
dfr$df.model[i] <- df.model
dfr$df.resid[i] <- df.resid
dfr$AIC[i] <- akic[, 3]
dfr$AICc[i] <- akic[, 4]
dfr$BIC[i] <- -2 * fm$logL + log(df.model + df.resid) * df.model
dfr[i, 3] <- 2 * fm$logL
}
dfr$Test <- c(NA, paste(names(mods)[-nrow(dfr)], names(mods)[-1], sep = " vs "))
dfr$df <- c(NA, abs(diff(dfr$df.model)))
dfr[, 9] <- c(NA, abs(diff(dfr[, 3])))
for(i in 2:n)
dfr[i , 10] <- 1 - pchisq(dfr[i, 9], df = dfr$df[i])
rownames(dfr) <- names(mods)
structure(list(models = mod, anova.table = dfr), class = "anova.aodml")
}
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