dnormexp {limma} | R Documentation |
Density of the normal + exponential convolution distribution.
This function is called by normexp.fit
.
dnormexp(x,normmean,normsd,expmean,log=FALSE) dnormexp.saddle(x,normmean,normsd,expmean,log=FALSE,secondorder=TRUE)
x |
numeric vector of quantiles |
normmean |
mean of normal distribution |
normsd |
standard deviation of normal distribution |
expmean |
mean of exponential distribution |
log |
logical, if TRUE , density values d are given as log(d) |
secondorder |
logical, if TRUE the second order saddle-point approximation is used |
dnormexp
computes the exact density but may fail for some extreme parameter values.
dnormexp.saddle
computes the saddle-point approximation to the density.
numeric vector of density or log-density values.
Jeremy Silver and Gordon Smyth
An overview of background correction functions is given in 04.Background
.