BayesComposition | BayesComposition package provides Bayesian MCMC estimates

by jtipton25 HTML Version: Current License: No License

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kandi X-RAY | BayesComposition Summary

BayesComposition is a HTML library. BayesComposition has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The BayesComposition package provides Bayesian MCMC estimates for joint compositional count species response data. The package produces species response curves to covariates as well as generative inverse predictions of unobserved covariates given compositional count observations. This repository contains code and data from the paper. To reproduce the results from: Nolan, C., Tipton, J., Booth, R.K., Hooten, M.B., and Jackson, S.T. (Submitted). Comparing and improving methods for reconstructing water table depth from testate amoebae.

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BayesComposition has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 150 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of BayesComposition is current.

Quality

BayesComposition has no bugs reported.

Security

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

License

BayesComposition does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

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

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

Installation instructions are not available. Examples and code snippets are available.

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BayesComposition Key Features

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BayesComposition Examples and Code Snippets

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Install BayesComposition

You can download it from GitHub.

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