limdil(response,dose,tested=rep(1,length(response)),observed=FALSE,confidence=0.95,test.unit.slope=FALSE)
tested
trialslog(dose)
.
If observed=FALSE
, a classic Poisson single-hit model is assumed, and the Poisson frequency of the stem cells is the exp
of the intercept.
If observed=TRUE
, the values of dose
are treated as actual cell numbers rather than expected values.
This doesn't changed the generalized linear model fit but changes how the frequencies are extracted from the estimated model coefficient.Dose <- c(50,100,200,400,800)
Responses <- c(2,6,9,15,21)
Tested <- c(24,24,24,24,24)
limdil(Responses,Dose,Tested,test.unit.slope=TRUE)
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