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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...
> print(rIM1xIPC81,digits=5)
Substance ndl n lld lhd mtype logED50 2.5% 97.5% unit
1 IM13 BF4 9 81 0.591760 3.0000 inactive NA NA NA 然
2 IM14 BF4 20 216 -0.010300 3.1761 no fit NA NA NA 然
3 IM15 BF4 9 135 0.591760 3.0000 inactive NA NA NA 然
4 IM16 BF4 9 108 0.591760 3.0000 inactive NA NA NA 然
5 IM17 BF4 9 81 0.591760 3.0000 linlogit 2.5786 2.50572 2.66174 然
6 IM18 BF4 9 135 0.591760 3.0000 linlogit 1.6806 1.62298 1.74189 然
7 IM19 BF4 9 81 0.591760 3.0000 linlogit 1.6496 1.59848 1.70315 然
8 IM1-10 BF4 11 162 -0.010300 3.0000 linlogit 0.7697 0.68701 0.85442 然
sigma a b c
1 NA NA NA NA
2 NA NA NA NA
3 NA NA NA NA
4 NA NA NA NA
5 0.23759 2.5786 2.3002 0.014680
6 0.23249 1.6806 2.2373 0.057193
7 0.14527 1.6496 1.9770 0.109561
8 0.29877 0.7697 1.9363 0.458086
>
