GmmThreshold-class - Output of the gmm method of findThreshold
Description¶
GmmThreshold contains output from the gmm method findThreshold.
It includes parameters of two Gaussian fits and threshold cut.
Usage¶
"print"(x)
"plot"(x, y, ...)
Arguments¶
- x
- GmmThreshold object
- y
- ignored.
- …
- arguments to pass to plotGmmThreshold.
Slots¶
x- input distance vector with NA or infinite values removed.
model- first-second fit functions.
cutoff- type of threshold cut.
a1- mixing weight of the first curve.
b1- second parameter of the first curve. Either the mean of a Normal distribution or shape of a Gamma distribution.
c1- third parameter of the first curve. Either the standard deviation of a Normal distribution or scale of a Gamma distribution.
a2- mixing weight of the second curve.
b2- second parameter of the second curve. Either the mean of a Normal distribution or shape of a Gamma distribution.
c2- third parameter of the second curve. Either the standard deviation of a Normal distribution or scale of a Gamma distribution.
loglk- log-likelihood of the fit.
threshold- threshold.
sensitivity- sensitivity.
specificity- specificity.
pvalue- p-value from Hartigans’ dip statistic (HDS) test. Values less than 0.05 indicate significant bimodality.