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> library(drfit)
Loading required package: MASS
Loading required package: RODBC
> data(IM1xIPC81)
> rIM1xIPC81 <- drfit(IM1xIPC81,linlogit=TRUE)
IM13 BF4: Fitting data...
IM14 BF4: Fitting data...
Error in nls(response ~ linlogitf(dose, 1, f, logED50, b), data = tmp, :
singular gradient
Error in numericDeriv(form[[3]], names(ind), env) :
Missing value or an infinity produced when evaluating the model
In addition: Warning message:
NaNs produced in: pnorm(q, mean, sd, lower.tail, log.p)
IM15 BF4: Fitting data...
IM16 BF4: Fitting data...
IM17 BF4: Fitting data...
Waiting for profiling to be done...
Error in numericDeriv(form[[3]], names(ind), env) :
Missing value or an infinity produced when evaluating the model
In addition: Warning message:
NaNs produced in: pnorm(q, mean, sd, lower.tail, log.p)
IM18 BF4: Fitting data...
Waiting for profiling to be done...
Error in numericDeriv(form[[3]], names(ind), env) :
Missing value or an infinity produced when evaluating the model
In addition: Warning message:
NaNs produced in: pnorm(q, mean, sd, lower.tail, log.p)
IM19 BF4: Fitting data...
Waiting for profiling to be done...
Error in numericDeriv(form[[3]], names(ind), env) :
Missing value or an infinity produced when evaluating the model
In addition: Warning message:
NaNs produced in: pnorm(q, mean, sd, lower.tail, log.p)
IM1-10 BF4: Fitting data...
Waiting for profiling to be done...
> rIM1xIPC81
Substance ndl n lld lhd mtype logED50 2.5%
1 IM13 BF4 9 81 0.59176003 3.000000 inactive NA NA
2 IM14 BF4 20 216 -0.01030017 3.176091 no fit NA NA
3 IM15 BF4 9 135 0.59176003 3.000000 inactive NA NA
4 IM16 BF4 9 108 0.59176003 3.000000 inactive NA NA
5 IM17 BF4 9 81 0.59176003 3.000000 linlogit 2.5785719 2.5057219
6 IM18 BF4 9 135 0.59176003 3.000000 linlogit 1.6806040 1.6229756
7 IM19 BF4 9 81 0.59176003 3.000000 linlogit 1.6496121 1.5984793
8 IM1-10 BF4 11 162 -0.01030017 3.000000 linlogit 0.7696961 0.6870081
97.5% unit sigma a b c
1 NA 然 NA NA NA NA
2 NA 然 NA NA NA NA
3 NA 然 NA NA NA NA
4 NA 然 NA NA NA NA
5 2.6617385 然 0.2375857 2.5785719 2.300216 0.01468034
6 1.7418917 然 0.2324871 1.6806040 2.237338 0.05719295
7 1.7031463 然 0.1452716 1.6496121 1.976976 0.10956088
8 0.8544213 然 0.2987708 0.7696961 1.936253 0.45808611
>
