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QUESTION
Simulating an SIR model in R. I have a data set I am trying to plot accurately with the model. I am right now using the particle filter function, then would like to use the corresponding logLik method on the result. When I do this, I get "[1] -Inf" as a result. I can't find in the documentation why this is and how I can avoid it. Are my parameters for the model not accurate enough? Is there something else wrong?
My function looks like this: SIRsim %>% pfilter(Np=5000) -> pf logLik(pf)
From an online course lesson entitled Likelihood for POMPS https://kingaa.github.io/sbied/pfilter/ , this is the R script for the lesson. However, the code works here... I'm not sure how to reproduce my specific problem with it and unfortunately cannot share the dataset or code I am using because it is for academic research.
...ANSWER
Answered 2021-Jan-03 at 22:31If I set Beta=100
in the code above I can get a negative-infinite log-likelihood.
Replacing the measurement-error snippet with this:
QUESTION
I try to model a SEIR for UK to evaluate the implemented containment measures and found some code with the pomp package here: https://kingaa.github.io/clim-dis/parest/parest.html I tried to transfer this to my case which adds one stage (E) and three more variables. In the end i want to do a least squared estimation to find the optimal beta. Data_UK_beta0 consists of the variable date (int from 0 to 165) and new_cases (from John Hopkins University dataset).
...ANSWER
Answered 2020-Dec-06 at 18:17The sse
function you've imported from apricom
has nothing (as far as I can see) to do with this problem. (This also doesn't have anything to do with C(++) code compilation, so the [compiler-errors] tag in your question is a little misleading.)
You haven't given us a way to get your Data_UK_beta0
data set so I can't reproduce this, but I assume that you actually want something like:
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