https://github.com/cran/bbmle
Tip revision: 13982dbec4de7e8f454e60e5769fa597e6de56aa authored by Ben Bolker on 11 May 2022, 07:20:02 UTC
version 1.0.25
version 1.0.25
Tip revision: 13982db
controleval.Rout.save
R Under development (unstable) (2012-07-27 r60013) -- "Unsuffered Consequences"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
Natural language support but running in an English locale
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> require(bbmle)
Loading required package: bbmle
> mle2a <- function(...)
+ mle2(...)
>
> mle2b <- function(...)
+ mle2a(...)
>
> ## some data
> d <- data.frame(x=0:10,y=c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8))
> ym <- mean(d$y)
>
> ## some fits
>
> (fit0 <- mle2(y~dpois(lambda=ymean),start=list(ymean=ym),data=d)) # okay
Call:
mle2(minuslogl = y ~ dpois(lambda = ymean), start = list(ymean = ym),
data = d)
Coefficients:
ymean
11.54545
Log-likelihood: -42.73
> predict(fit0)
[1] 11.54545
> (fit0.2 <- mle2(y~dpois(lambda=ymean),start=list(ymean=ym),data=d,
+ control=list(parscale=2))) # okay
Call:
mle2(minuslogl = y ~ dpois(lambda = ymean), start = list(ymean = ym),
data = d, control = list(parscale = 2))
Coefficients:
ymean
11.54545
Log-likelihood: -42.73
> predict(fit0.2)
[1] 11.54545
> (fit1 <- mle2a(y~dpois(lambda=ymean),start=list(ymean=ym),data=d)) # okay
Call:
mle2(minuslogl = ..1, start = ..2, data = ..3)
Coefficients:
ymean
11.54545
Log-likelihood: -42.73
> (fit1.2 <- mle2a(y~dpois(lambda=ymean),start=list(ymean=ym),data=d,
+ control=list(parscale=2))) # FAILS
Call:
mle2(minuslogl = ..1, start = ..2, data = ..3, control = ..4)
Coefficients:
ymean
11.54545
Log-likelihood: -42.73
> (fit1.3 <- mle2b(y~dpois(lambda=ymean),start=list(ymean=ym),data=d,
+ control=list(parscale=2))) # FAILS
Call:
mle2(minuslogl = ..1, start = ..2, data = ..3, control = ..4)
Coefficients:
ymean
11.54545
Log-likelihood: -42.73
>
> ### NOT WORKING:
> if (FALSE) {
+ predict(fit1)
+ predict(fit1.2)
+ predict(fit1.3)
+ }
>
> proc.time()
user system elapsed
0.736 1.076 1.638