From 35a241eab3876467be0baa718dea15fd0f2adce6 Mon Sep 17 00:00:00 2001
From: paulgovan <paul.govan2@gmail.com>
Date: Tue, 2 Jul 2024 15:52:45 +0000
Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20paulgova?=
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 11 files changed, 3 insertions(+), 3 deletions(-)

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diff --git a/authors.html b/authors.html
index 54bbf3c..5207d4b 100644
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@@ -80,7 +80,7 @@ <h2 id="citation">Citation</h2>
   year = {2023},
   note = {R package version 0.3},
   url = {https://cran.r-project.org/package=BayesianNetwork},
-  doi = {https://doi.org/10.32614/CRAN.package.BayesianNetwork},
+  doi = {10.32614/CRAN.package.BayesianNetwork},
 }</pre>
     </div>
   </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
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diff --git a/pkgdown.yml b/pkgdown.yml
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@@ -2,7 +2,7 @@ pandoc: 3.1.11
 pkgdown: 2.0.9
 pkgdown_sha: ~
 articles: {}
-last_built: 2024-07-02T15:44Z
+last_built: 2024-07-02T15:52Z
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diff --git a/search.json b/search.json
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@@ -1 +1 @@
-[{"path":[]},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, caste, color, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement pgovan1@aggienetwork.com. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"id_1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"id_2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"id_3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"id_4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.1, available https://www.contributor-covenant.org/version/2/1/code_of_conduct.html. Community Impact Guidelines inspired [Mozilla’s code conduct enforcement ladder][https://github.com/mozilla/inclusion]. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https://www.contributor-covenant.org/translations.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Paul Govan. Author, maintainer, copyright holder.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Govan PB (2018). “BayesianNetwork: Interactive Bayesian Network Modeling Analysis.” Journal Open Source Software, 3(21), 425. doi:10.21105/joss.00425, https://doi.org/10.21105/joss.00425. Govan P (2023). BayesianNetwork: Bayesian Network Modeling Analysis. doi:10.32614/CRAN.package.BayesianNetwork, R package version 0.3, https://cran.r-project.org/package=BayesianNetwork.","code":"@Article{,   doi = {10.21105/joss.00425},   url = {https://doi.org/10.21105/joss.00425},   year = {2018},   publisher = {The Open Journal},   volume = {3},   number = {21},   pages = {425},   author = {Paul B. Govan},   title = {BayesianNetwork: Interactive Bayesian Network Modeling and Analysis},   journal = {Journal of Open Source Software}, } @Manual{,   title = {BayesianNetwork: Bayesian Network Modeling and Analysis},   author = {Paul Govan},   year = {2023},   note = {R package version 0.3},   url = {https://cran.r-project.org/package=BayesianNetwork},   doi = {https://doi.org/10.32614/CRAN.package.BayesianNetwork}, }"},{"path":"http://paulgovan.github.io/BayesianNetwork/index.html","id":"bayesiannetwork","dir":"","previous_headings":"","what":"Bayesian Network Modeling and Analysis","title":"Bayesian Network Modeling and Analysis","text":"BayesianNetwork Shiny web application Bayesian network modeling analysis, powered bnlearn package. learn project, check paper.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/index.html","id":"getting-started","dir":"","previous_headings":"","what":"Getting Started","title":"Bayesian Network Modeling and Analysis","text":"install BayesianNetwork R: install latest developmental version: launch app: access app browser, visit paulgovan.shinyapps.io/BayesianNetwork.","code":"install.packages(\"BayesianNetwork\") devtools::install_github('paulgovan/BayesianNetwork') BayesianNetwork::BayesianNetwork()"},{"path":[]},{"path":"http://paulgovan.github.io/BayesianNetwork/index.html","id":"home","dir":"","previous_headings":"","what":"Home","title":"Bayesian Network Modeling and Analysis","text":"Launching app brings Home tab. Home tab basically landing page gives brief introduction app includes two value boxes, one number nodes arcs network. following figure shows basic Home tab.  BayesianNetwork comes number simulated “real world” data sets. example use “Sample Discrete Network”, selected network default.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/index.html","id":"structure","dir":"","previous_headings":"","what":"Structure","title":"Bayesian Network Modeling and Analysis","text":"Click Structure sidepanel begin learning network data. Bayesian network automatically displayed Bayesian Network box. order learn structure network given data set, upload data set csv format using Data Input box. Data numeric factored contain NULL/NaN/NA values. , example uses “Sample Discrete Network”, already loaded. Select learning algorithm Structural Learning box. classes available structural learning algorithms include: * Constraint-based algorithms * Score-based algorithms * Hybrid-structure algorithms * Local discovery algorithms view network score, select score function Network Score box.  “Sample Discrete Network” contains six discrete variables, stored factors either 2 3 levels. structure simple Bayesian network can learned using grow-shrink algorithm, selected algorithm default. Try different combinations structural learning algorithms score functions order see effect () resulting Bayesian network.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/index.html","id":"parameters","dir":"","previous_headings":"","what":"Parameters","title":"Bayesian Network Modeling and Analysis","text":"Select grow-shrink algorithm click Parameters sidepanel order learn parameters network. selected parameters automically displayed Network Parameters box. Select learning algorithm Parameter Learning box. app supports maximum-likelihood Bayesian estimation parameters. Note Bayesian parameter learning currently implemented discrete data sets. select type chart display Parameter Infographic box , discrete case, choose preferred node. example, selected node discrete node three levels: , b, c.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/index.html","id":"inference","dir":"","previous_headings":"","what":"Inference","title":"Bayesian Network Modeling and Analysis","text":"Click Inference sidebar add evidence network. Select evidence add model using Evidence box select conditional event interest using Event box. resulting conditional probabilities automatically displayed Event Parameter box. example, following figure shows conditional probability event B, given evidence c node . Changing evidence node b similarly changes conditional probability event B. Note inference currently supported continuous variables.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/index.html","id":"measures","dir":"","previous_headings":"","what":"Measures","title":"Bayesian Network Modeling and Analysis","text":"Click Measures sidepanel bring number tools classic network analysis. Measures tab number node network measures. node measures include: * Markov blanket * Neighborhood * Parents * Children * degree * degree * Incident arcs * Incoming arcs * Outgoing arcs Select node measure Controls box result displayed Node Measure box. Controls box also contains different options displaying hierarchical clusters/dendograms network. Select type dendogram display (row, column, , none) resulting dendogram(s) displayed along adjacency matrix Adjacency Matrix box.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/index.html","id":"editor","dir":"","previous_headings":"","what":"Editor","title":"Bayesian Network Modeling and Analysis","text":"Finally, click Editor sidepanel order bring interactive code editor. example markdown automatically displayed Editor box. Click Run button knit code resulting report displayed body app.  Note Editor available package (shinyapps.io).","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/index.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Bayesian Network Modeling and Analysis","text":"Please note BayesianNetwork project released Contributor Code Conduct. contributing project, agree abide terms.","code":""},{"path":[]},{"path":[]},{"path":[]},{"path":"http://paulgovan.github.io/BayesianNetwork/news.html","id":"minor-improvements-and-bug-fixes","dir":"","previous_headings":"","what":"Minor improvements and bug fixes","title":"BayesianNetwork (development version)","text":"Parameter learning methods longer return error. BayesianNetwork() now UI locally shinyapps.io.","code":""},{"path":[]},{"path":"http://paulgovan.github.io/BayesianNetwork/news.html","id":"minor-changes","dir":"","previous_headings":"","what":"Minor changes","title":"BayesianNetwork (development version)","text":"Added orcid Minor UI improvements","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/reference/BayesianNetwork.html","id":null,"dir":"Reference","previous_headings":"","what":"Bayesian Network modeling and analysis. — BayesianNetwork","title":"Bayesian Network modeling and analysis. — BayesianNetwork","text":"BayesianNetwork Shiny web application Bayesian Network modeling analysis.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/reference/BayesianNetwork.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Bayesian Network modeling and analysis. — BayesianNetwork","text":"","code":"BayesianNetwork()"},{"path":[]},{"path":"http://paulgovan.github.io/BayesianNetwork/reference/BayesianNetwork.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Bayesian Network modeling and analysis. — BayesianNetwork","text":"","code":"if (interactive()) {   BayesianNetwork() }"}]
+[{"path":[]},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, caste, color, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement pgovan1@aggienetwork.com. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"id_1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"id_2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"id_3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"id_4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.1, available https://www.contributor-covenant.org/version/2/1/code_of_conduct.html. Community Impact Guidelines inspired [Mozilla’s code conduct enforcement ladder][https://github.com/mozilla/inclusion]. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https://www.contributor-covenant.org/translations.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Paul Govan. Author, maintainer, copyright holder.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Govan PB (2018). “BayesianNetwork: Interactive Bayesian Network Modeling Analysis.” Journal Open Source Software, 3(21), 425. doi:10.21105/joss.00425, https://doi.org/10.21105/joss.00425. Govan P (2023). BayesianNetwork: Bayesian Network Modeling Analysis. doi:10.32614/CRAN.package.BayesianNetwork, R package version 0.3, https://cran.r-project.org/package=BayesianNetwork.","code":"@Article{,   doi = {10.21105/joss.00425},   url = {https://doi.org/10.21105/joss.00425},   year = {2018},   publisher = {The Open Journal},   volume = {3},   number = {21},   pages = {425},   author = {Paul B. Govan},   title = {BayesianNetwork: Interactive Bayesian Network Modeling and Analysis},   journal = {Journal of Open Source Software}, } @Manual{,   title = {BayesianNetwork: Bayesian Network Modeling and Analysis},   author = {Paul Govan},   year = {2023},   note = {R package version 0.3},   url = {https://cran.r-project.org/package=BayesianNetwork},   doi = {10.32614/CRAN.package.BayesianNetwork}, }"},{"path":"http://paulgovan.github.io/BayesianNetwork/index.html","id":"bayesiannetwork","dir":"","previous_headings":"","what":"Bayesian Network Modeling and Analysis","title":"Bayesian Network Modeling and Analysis","text":"BayesianNetwork Shiny web application Bayesian network modeling analysis, powered bnlearn package. learn project, check paper.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/index.html","id":"getting-started","dir":"","previous_headings":"","what":"Getting Started","title":"Bayesian Network Modeling and Analysis","text":"install BayesianNetwork R: install latest developmental version: launch app: access app browser, visit paulgovan.shinyapps.io/BayesianNetwork.","code":"install.packages(\"BayesianNetwork\") devtools::install_github('paulgovan/BayesianNetwork') BayesianNetwork::BayesianNetwork()"},{"path":[]},{"path":"http://paulgovan.github.io/BayesianNetwork/index.html","id":"home","dir":"","previous_headings":"","what":"Home","title":"Bayesian Network Modeling and Analysis","text":"Launching app brings Home tab. Home tab basically landing page gives brief introduction app includes two value boxes, one number nodes arcs network. following figure shows basic Home tab.  BayesianNetwork comes number simulated “real world” data sets. example use “Sample Discrete Network”, selected network default.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/index.html","id":"structure","dir":"","previous_headings":"","what":"Structure","title":"Bayesian Network Modeling and Analysis","text":"Click Structure sidepanel begin learning network data. Bayesian network automatically displayed Bayesian Network box. order learn structure network given data set, upload data set csv format using Data Input box. Data numeric factored contain NULL/NaN/NA values. , example uses “Sample Discrete Network”, already loaded. Select learning algorithm Structural Learning box. classes available structural learning algorithms include: * Constraint-based algorithms * Score-based algorithms * Hybrid-structure algorithms * Local discovery algorithms view network score, select score function Network Score box.  “Sample Discrete Network” contains six discrete variables, stored factors either 2 3 levels. structure simple Bayesian network can learned using grow-shrink algorithm, selected algorithm default. Try different combinations structural learning algorithms score functions order see effect () resulting Bayesian network.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/index.html","id":"parameters","dir":"","previous_headings":"","what":"Parameters","title":"Bayesian Network Modeling and Analysis","text":"Select grow-shrink algorithm click Parameters sidepanel order learn parameters network. selected parameters automically displayed Network Parameters box. Select learning algorithm Parameter Learning box. app supports maximum-likelihood Bayesian estimation parameters. Note Bayesian parameter learning currently implemented discrete data sets. select type chart display Parameter Infographic box , discrete case, choose preferred node. example, selected node discrete node three levels: , b, c.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/index.html","id":"inference","dir":"","previous_headings":"","what":"Inference","title":"Bayesian Network Modeling and Analysis","text":"Click Inference sidebar add evidence network. Select evidence add model using Evidence box select conditional event interest using Event box. resulting conditional probabilities automatically displayed Event Parameter box. example, following figure shows conditional probability event B, given evidence c node . Changing evidence node b similarly changes conditional probability event B. Note inference currently supported continuous variables.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/index.html","id":"measures","dir":"","previous_headings":"","what":"Measures","title":"Bayesian Network Modeling and Analysis","text":"Click Measures sidepanel bring number tools classic network analysis. Measures tab number node network measures. node measures include: * Markov blanket * Neighborhood * Parents * Children * degree * degree * Incident arcs * Incoming arcs * Outgoing arcs Select node measure Controls box result displayed Node Measure box. Controls box also contains different options displaying hierarchical clusters/dendograms network. Select type dendogram display (row, column, , none) resulting dendogram(s) displayed along adjacency matrix Adjacency Matrix box.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/index.html","id":"editor","dir":"","previous_headings":"","what":"Editor","title":"Bayesian Network Modeling and Analysis","text":"Finally, click Editor sidepanel order bring interactive code editor. example markdown automatically displayed Editor box. Click Run button knit code resulting report displayed body app.  Note Editor available package (shinyapps.io).","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/index.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Bayesian Network Modeling and Analysis","text":"Please note BayesianNetwork project released Contributor Code Conduct. contributing project, agree abide terms.","code":""},{"path":[]},{"path":[]},{"path":[]},{"path":"http://paulgovan.github.io/BayesianNetwork/news.html","id":"minor-improvements-and-bug-fixes","dir":"","previous_headings":"","what":"Minor improvements and bug fixes","title":"BayesianNetwork (development version)","text":"Parameter learning methods longer return error. BayesianNetwork() now UI locally shinyapps.io.","code":""},{"path":[]},{"path":"http://paulgovan.github.io/BayesianNetwork/news.html","id":"minor-changes","dir":"","previous_headings":"","what":"Minor changes","title":"BayesianNetwork (development version)","text":"Added orcid Minor UI improvements","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/reference/BayesianNetwork.html","id":null,"dir":"Reference","previous_headings":"","what":"Bayesian Network modeling and analysis. — BayesianNetwork","title":"Bayesian Network modeling and analysis. — BayesianNetwork","text":"BayesianNetwork Shiny web application Bayesian Network modeling analysis.","code":""},{"path":"http://paulgovan.github.io/BayesianNetwork/reference/BayesianNetwork.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Bayesian Network modeling and analysis. — BayesianNetwork","text":"","code":"BayesianNetwork()"},{"path":[]},{"path":"http://paulgovan.github.io/BayesianNetwork/reference/BayesianNetwork.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Bayesian Network modeling and analysis. — BayesianNetwork","text":"","code":"if (interactive()) {   BayesianNetwork() }"}]