R: Curve Fitting for Multiscale Bootstrap Resampling
msfit
R Documentation
Curve Fitting for Multiscale Bootstrap Resampling
Description
msfit performs curve fitting for multiscale
bootstrap resampling. It generates an object of class
msfit. Several generic methods are available.
Usage
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, ...)
Arguments
bp
numeric vector of bootstrap probability values.
r
numeric vector of relative sample size of bootstrap samples
defined as r=n'/n for original sample size n and
bootstrap sample size n'.
nboot
numeric value (vector) of the number of bootstrap
replications.
x
object of class msfit.
curve
logical. If TRUE, the fitted curve is drawn.
main, sub, xlab, ylab, col, lty
generic graphic parameters.
object
object of class msfit.
digits
integer indicating the precision to be used in rounding.
...
other parameters to be used in the functions.
Details
function 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.
Value
msfit returns an object of class msfit. It contains
the following objects:
p
numeric vector of p-values. 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.
se
numeric vector of estimated standard errors of p-values.
coef
numeric vector related to geometric aspects of
hypotheses. v is signed distance and c is curvature of
the boundary.
df
numeric value of the degree of freedom in curve fitting.
rss
residual sum of squares.
pchi
p-value of chi-square test based on asymptotic theory.