sbied | Simulation-based Inference for Epidemiological Dynamics

by kingaa HTML Version: 2022 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | sbied Summary

sbied is a HTML library typically used in Simulation applications. sbied has no bugs, it has no vulnerabilities and it has low support. However sbied has a Non-SPDX License. You can download it from GitHub.

Simulation-based Inference for Epidemiological Dynamics

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sbied has a low active ecosystem.

It has 22 star(s) with 12 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

sbied has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of sbied is 2022

Quality

sbied has no bugs reported.

Security

sbied has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

sbied has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

sbied releases are not available. You will need to build from source code and install.

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sbied Key Features

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sbied Examples and Code Snippets

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Community Discussions

Trending Discussions on sbied

R function loglik() returning -inf?

QUESTION

R function loglik() returning -inf?

Asked 2021-Jan-03 at 22:31

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 22:31

If I set Beta=100 in the code above I can get a negative-infinite log-likelihood.

Replacing the measurement-error snippet with this:

Source https://stackoverflow.com/questions/65554258

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install sbied

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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