Saturation curve for the effective number of independent measurements per donor for a negative binomial mixed model
Usage
plotSaturation(fit, method = c("counts", "measurements"))Arguments
- fit
model fit from
fastlmm()orfastglmm()- method
use asymptotic values for
"counts"or"measurements"
Details
See powerNBMM()
Examples
data(PsychAD)
# regression formula
form <- PTPRG ~ (1|SubID) + offset(log(libSize))
# fit NBMM in on PTPRG expression
fit <- fastglmm.nb(form, PsychAD)
# Saturation curve as mu increases
plotSaturation(fit, method="counts")
# Saturation curve as m increases
plotSaturation(fit, method="measurements")