bayes2018 | My notes on Bayesian statistics in Stan , etc | Data Visualization library

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kandi X-RAY | bayes2018 Summary

bayes2018 is a HTML library typically used in Analytics, Data Visualization applications. bayes2018 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

My notes on Bayesian statistics in Stan, etc (2018-)

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bayes2018 has a low active ecosystem.

It has 10 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

bayes2018 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of bayes2018 is current.

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bayes2018 has no bugs reported.

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bayes2018 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

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bayes2018 does not have a standard license declared.

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Without a license, all rights are reserved, and you cannot use the library in your applications.

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Community Discussions

Trending Discussions on bayes2018

Bayesian Multinomial Regression using rjags package

QUESTION

Bayesian Multinomial Regression using rjags package

Asked 2020-Aug-17 at 16:20

I am trying to fit a multinomial logistic regression model using rjags for the outcome is a categorical (nominal) variable (Outcome) with 3 levels, and the explanatory variables are Age (continuous) and Group (categorical with 3 levels). In doing so, I would like to obtain the Posterior means and 95% quantile-based regions for Age and Group.

I am not really great at for loop which I think is the reason why my written code for the model isn't working working properly.

My beta priors follow a Normal distribution, βj ∼ Normal(0,100) for j ∈ {0, 1, 2}.

Reproducible R code

...

ANSWER

Answered 2020-Aug-17 at 16:20

I will include an approach to your issue. I have taken the same priors you defined for coefficients. I only need to mention that as you have a factor in Group I will use one of its levels as reference (in this case pink) so its effect will be taken into account by the constant in the model. Next the code:

Source https://stackoverflow.com/questions/63444427

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

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