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> library(bbmle)
Loading required package: stats4
> old_opt <- options(digits=3)
> x <- 0:10
> y <- c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8)
> d <- data.frame(x,y)
>
> fit0 <- mle2(y~dpois(lambda=ymean),start=list(ymean=mean(y)),data=d,
+ method="L-BFGS-B",lower=10)
>
> stopifnot(is.na(confint(fit0)[1]))
>
> fit1 <- mle2(y~dpois(lambda=exp(a+b*x)),start=list(a=0,b=2),data=d,
+ method="L-BFGS-B",lower=-0.2)
>
> suppressWarnings(confint(fit1))
2.5 % 97.5 %
a 2.81 3.3579
b NA -0.0944
>
> fit2 <- mle2(y~dpois(lambda=exp(a+b*x)),start=list(a=0,b=2),data=d,
+ method="L-BFGS-B")
>
> pp <- profile(fit2,prof.lower=-0.2)
> stopifnot(min(subset(as.data.frame(pp),param=="b")$par.vals.b)==-0.2)
> ## note that b does go below -0.2 when profiling a ...
> options(old_opt)
>
> proc.time()
user system elapsed
1.084 0.820 3.943
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