<commit_before>Bayesian models for _C. albicans_ colonization

Main website, data and additional documentation @ the [main project website][mainsite]

##### Scope
The script, `bayesianmice_visualization.R`, provides the complete underlying code for all the figures in the [*Results*][results] section on the main project website and in the manuscript:

> <NAME>. et al. Using Bayesian modelling to investigate factors governing antibiotic-induced Candida albicans colonization of the GI tract. Sci. Rep. 5, 8131; DOI:10.1038/srep08131 (2015). Available at: http://dx.doi.org/10.1038/srep08131


For model specifications, underlying theory as well as a comparative evaluation of BMA ensemble regression against other ensemble regression models, please review:

> <NAME>, <NAME> et al. A systematic evaluation of high-dimensional, ensemble-based regression for exploring large model spaces in microbiome analyses. BMC Bioinformatics. 2015 Feb;16(1):31+. Available from: http://dx.doi.org/10.1186/s12859-015-0467-6.


Code and documentation for the BMA models can be found in the `regeval repository` @ https://github.com/openpencil/regeval



<!--Websites-->
[mainsite]: http://openpencil.github.io/bayesianmice/ "_bayesianmice_: project documentation website"
[results]: http://openpencil.github.io/bayesianmice/results.html "_bayesianmice_: Results"<commit_msg>added links to the regeval directory and manuscript<commit_after>Bayesian models for _C. albicans_ colonization

Main website, data and additional documentation @ the [main project website][mainsite]

##### Scope
The script, `bayesianmice_visualization.R`, provides the complete underlying data and code for all the figures in the [*Results*][results] section on the main project website and in the manuscript:

> <NAME>. et al. Using Bayesian modelling to investigate factors governing antibiotic-induced Candida albicans colonization of the GI tract. Scientific Reports. 5, 8131; DOI:10.1038/srep08131 (2015). Available at: http://dx.doi.org/10.1038/srep08131


For model specifications, underlying theory as well as a comparative evaluation of BMA ensemble regression against other ensemble regression models, please review:

> <NAME>, <NAME> et al. A systematic evaluation of high-dimensional, ensemble-based regression for exploring large model spaces in microbiome analyses. BMC Bioinformatics. 2015 Feb;16(1):31+. DOI:10.1186/s12859-015-0467-6. Available at: http://dx.doi.org/10.1186/s12859-015-0467-6.


Code and documentation for the BMA models can be found in the `regeval repository` @ https://github.com/openpencil/regeval



<!--Websites-->
[mainsite]: http://openpencil.github.io/bayesianmice/ "_bayesianmice_: project documentation website"
[results]: http://openpencil.github.io/bayesianmice/results.html "_bayesianmice_: Results"
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