I am trying to estimate an Arrhenius-exponential model in R. I have one
vector of data containing failure times, and another containing
corresponding temperatures. I am trying to optimize a maximum likelihood
function given BOTH these vectors. However, the optim command takes only
one such vect
Optim uses vectors of _parameters_, not of data. You add a
(likelihood) function, give initial values of the parameters, and get
the optimized parameters back. See ?optim and the examples therein. It
contains an example for optimization using multiple data columns.
Cheers
Joris
On Fri, Jun 25, 20
I am trying to estimate an Arrhenius-exponential model in R. I have one
vector of data containing failure times, and another containing
corresponding temperatures. I am trying to optimize a maximum likelihood
function given BOTH these vectors. However, the optim command takes only
one such vect
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