LikelihoodProfiler.jl
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insysbio
LikelihoodProfiler is a Julia package for practical identifiability analysis and confidence intervals evaluation.
I have created an optimisation problem using PEtab.jl. This gives me a gradient, which I have tried to adapt to LiklihoodProfiler's format using ```julia function loss_grad(p) grad = zeros(9) opt_prob2_3.compute_gradient!(grad,...
When performing large-scale scans I noticed something odd: In the `EndPoint` structure, the `supreme` field sometimes seems to be a complicated AD structure (an example is provided at the end)....
So, if you look at the output of the `get_interval` function, you can actually find the exact parameter points (and loss function values) where the interval was reached (in `profilePoints`)....
When I try to computer intervals, I sometimes get these warnings: ```julia ^t^l Warning: Close-to-zero parameters found when using :LN_NELDERMEAD. ^t^t @ LikelihoodProfiler ~/.julia/packages/LikelihoodProfiler/Qi97K/src/method_lin_extrapol.jl:34 ^t^l Warning: Close-to-zero parameters found when...
I am trying to perform likelihood profiling for a problem from parameter fitting to data. Here, I know bounds for all parameters, and want to incorporate this both into `theta_bounds`...
`profile` function can be used to calculate intermediate points in `update_profile_points!`
In the docs it is mentioned that `profile` takes an argument `parallel_type` for designating parallelisation type (and that it currently defaults to `:none`). Are there any parallelisation options implemented right...
It could be nice to enable progress bars of computations: https://github.com/timholy/ProgressMeter.jl More of a long term idea. I haven't really used these myself, so not sure how feasible/useful it is,...