> On Nov 7, 2017, at 6:58 AM, Eric Berger wrote:
>
> Why not define your own functions based on d?
> e.g.
> myCumDist <- function(x) { integrate(d, lower=-Inf, upper=x)$value }
> myQuantile <- function(x) { uniroot(f=function(y) { h(y) - x },
> interval=c(-5,5)) } # limits -5,5 should be repla
Why not define your own functions based on d?
e.g.
myCumDist <- function(x) { integrate(d, lower=-Inf, upper=x)$value }
myQuantile <- function(x) { uniroot(f=function(y) { h(y) - x },
interval=c(-5,5)) } # limits -5,5 should be replaced by your own which
might require some fiddling
e.g.
d <- fun
Dear All,
Apologies for not providing a reproducible example, but if I could, then I
would be able to answer myself my question.
Essentially, I am trying to fit a very complicated custom probability
distribution to some data.
Fitdistrplus does in principle everything which I need, but if require me
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