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###
### R routines for the R package mvmeta (c)
#
summary.mvmeta <-
function(object, ci.level=0.95, ...) {
#
################################################################################
#
if(ci.level<=0||ci.level>=1) stop("'ci.level' must be within 0 and 1")
#
coef <- object$coefficients
vcov <- object$vcov
dim <- object$dim
Psi <- object$Psi
lab <- object$lab
#
###########################################################################
# FIXED EFFECTS ESTIMATES
#
# COMPUTE STATISTICS FOR FIXED EFFECTS
coef <- as.numeric(coef)
coef.se <- sqrt(diag(vcov))
zval <- coef/coef.se
zvalci <- qnorm((1-ci.level)/2,lower.tail=FALSE)
pvalue <- 2*(1-pnorm(abs(zval)))
ci.lb <- coef-zvalci*coef.se
ci.ub <- coef+zvalci*coef.se
cilab <- paste(signif(ci.level,2)*100,"%ci.",c("lb","ub"),sep="")
#
# GENERATE TABLE AS MATRIX
tabfixed <- cbind(coef,coef.se,zval,pvalue,ci.lb,ci.ub)
dimnames(tabfixed) <- list(if(dim$k>1L) colnames(vcov) else lab$p,
c("Estimate","Std. Error","z","Pr(>|z|)",cilab))
#
# CORRELATION MATRIX OF FIXED EFFECTS
corFixed <- vcov/outer(coef.se,coef.se)
#
###########################################################################
# RANDOM EFFECTS ESTIMATES (FOR RANDOM-EFFECTS MODELS)
#
corRandom <- if(object$method!="fixed") {
# SD OF EACH RANDOM EFFECT
ran.sd <- sqrt(diag(Psi))
# CORRELATION MATRIX OF RANDOM EFFECTS
Psi/outer(ran.sd,ran.sd)
} else NULL
#
###########################################################################
# QTEST STATISTICS
#
qstat <- unclass(qtest(object))
#
###########################################################################
#
# DEFINE THE LIST
keep <- match(c("vcov","Psi","bscov","df.res","rank","logLik","converged",
"niter","negeigen","method","dim","df","lab","na.action","call","terms"),
names(object),0L)
out <- c(list(coefficients=tabfixed),object[keep],list(AIC=AIC(object),
BIC=BIC(object),corFixed=corFixed,corRandom=corRandom,qstat=qstat,
ci.level=ci.level))
#
class(out) <- "summary.mvmeta"
#
out
}
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