}
\arguments{
\item{X}{a distance matrix.}
- \item{fs}{argument \emph{s} of the agglomerative criterion.}
+ \item{fs}{argument \emph{s} of the agglomerative criterion: it is
+ coerced as an integer and must at least equal to one.}
}
\details{
Missing values represented by either \code{NA} or any negative number.
Basically, the Q* criterion is applied to all the pairs of leaves, and
the \emph{s} highest scoring ones are chosen for further analysis by
- the agglomeration criteria that better handle handle missing
- distances (see references for details).
+ the agglomeration criteria that better handle missing distances (see
+ references for details).
}
\value{
an object of class \code{"phylo"}.
\url{http://www.biomedcentral.com/1471-2105/9/166}
}
\author{Andrei Popescu \email{niteloserpopescu@gmail.com}}
+\seealso{
+ \code{\link{nj}}, \code{\link{bionj}}, \code{\link{triangMtds}}
+}
+\examples{
+data(woodmouse)
+d <- dist.dna(woodmouse)
+dm <- d
+dm[sample(length(dm), size = 3)] <- NA
+dist.topo(njs(dm), nj(d)) # often 0
+dm[sample(length(dm), size = 10)] <- NA
+dist.topo(njs(dm), nj(d)) # sometimes 0
+}
\keyword{models}