This function finds the mle solution to the one way random effects model.
vr.mle(xi, si2, ni, labi=c(1:length(xi)),
max.iter=1000, tol=.Machine$double.eps^0.5,
init.mu=mean(xi), init.sigma2=var(xi),
trace=FALSE, alpha=0.05)
estimated consensus value by the method of maximum likelihood
standard uncertainty estimation attached to the consensus value
estimated expansion factor for the specified configuration options
numeric vector, represents the mean values.
numeric vector, represents the variances associated with a single measurement.
integer vector, represents the number of observations associated with the reported mean values.
vector, containing the associated labels of the participanting laboratories, source of the reported values (mean, variances, number of observations)
integer, maximum number of iterations allowed.
numeric, relative tolerance.
numeric, initial consensus value.
numeric, initial between variance.
logic, indicates if traceable information must be shown during the execution.
numeric, significance level.
tools:::Rd_package_author("gconsensus") Maintainer: tools:::Rd_package_maintainer("gconsensus")
See also gconsensus