msfit performs curve fitting for multiscale
bootstrap resampling. It generates an object of class
msfit. Several generic methods are available.msfit(bp, r, nboot)## S3 method for class 'msfit':
plot(x, curve=TRUE, main=NULL, sub=NULL, xlab=NULL, ylab=NULL, ...)
## S3 method for class 'msfit':
lines(x, col=2, lty=1, ...)
## S3 method for class 'msfit':
summary(object, digits=3, ...)
msfit.TRUE, the fitted curve is drawn.msfit.msfit returns an object of class msfit. It contains
the following objects:au is AU
(Approximately Unbiased) $p$-value computed by multiscale
bootstrap resampling, which is more accurate than BP value
(explained below) as unbiased $p$-value. bp is BP
(Bootstrap Probability) value, which is simple but tends to be
unbiased when the absolute value of c (a value in coef
vector, explained below) is large.v is signed distance and c is curvature of
the boundary.msfit performs the curve fitting for multiscale
bootstrap resampling. In package pvclust this function is only
called from the function pvclust (or parPvclust), and
may never be called from users. However one can access a list of
msfit objects by x$msfit, where x is an object of
class pvclust.Shimodaira, H. (2002) "An approximately unbiased test of phylogenetic tree selection", Systematic Biology, 51, 492-508.