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This repository is part of the supplementary material for the paper:
N. Tagasovska, T. Vatter, V. Chavez-Demoulin, "Nonparametric Quantile-Based Causal Discovery”, 2018.
Availabe on arXiv: https://arxiv.org/pdf/1801.10579.pdf.
CONTENTS
———————————————————
qccd_code2018/
|-R/ (all of our R code lives here)
|---run_benchmarks/ (scripts for running qccd across different benchmarks)
|-data/ |—ANHNMN/ (simulated)
|-----AN-Gauss/
|-----AN-s/
|-----HN/
|-----HN-s/
|-----MN/
|-----MN-s/
|---SIM_pairs/ (Mooij 2016) |-----SIM/
|-----SIM-G/
|-----SIM-c/
|-----SIM-ln/
|---tuebingen_benchmark/ (real data Mooij 2016) Set working directory to setwd("~/qccd_code2018/R")
The file ~R/cd_utils.R contains a wrapper around our causal discovery method.
EXAMPLES
———————————————————
See R/run_benchmarks for examples.
PACKAGES REQUIRED
———————————————————
install.packages(“Hmisc”)
install.packages(“rvinecopulib”)
install.packages(“statmod”)
install.packages(“tnagler”)
install.packages(“igraph”)
install.packages(“pcalg”)
install.packages(“ggraph”)
COPYING
———————————————————
See COPYING for license terms.

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GitHub - guhjy/qccd_code · GitHub
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This repository is part of the supplementary material for the paper:
N. Tagasovska, T. Vatter, V. Chavez-Demoulin, "Nonparametric Quantile-Based Causal Discovery”, 2018.
Availabe on arXiv: https://arxiv.org/pdf/1801.10579.pdf.
CONTENTS
———————————————————
qccd_code2018/
|-R/ (all of our R code lives here)
|---run_benchmarks/ (scripts for running qccd across different benchmarks)
|-data/ |—ANHNMN/ (simulated)
|-----AN-Gauss/
|-----AN-s/
|-----HN/
|-----HN-s/
|-----MN/
|-----MN-s/
|---SIM_pairs/ (Mooij 2016) |-----SIM/
|-----SIM-G/
|-----SIM-c/
|-----SIM-ln/
|---tuebingen_benchmark/ (real data Mooij 2016) Set working directory to setwd("~/qccd_code2018/R")
The file ~R/cd_utils.R contains a wrapper around our causal discovery method.
EXAMPLES
———————————————————
See R/run_benchmarks for examples.
PACKAGES REQUIRED
———————————————————
install.packages(“Hmisc”)
install.packages(“rvinecopulib”)
install.packages(“statmod”)
install.packages(“tnagler”)
install.packages(“igraph”)
install.packages(“pcalg”)
install.packages(“ggraph”)
COPYING
———————————————————
See COPYING for license terms.

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - guhjy/qccd_code · GitHub
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This repository is part of the supplementary material for the paper:
N. Tagasovska, T. Vatter, V. Chavez-Demoulin, "Nonparametric Quantile-Based Causal Discovery”, 2018.
Availabe on arXiv: https://arxiv.org/pdf/1801.10579.pdf.
CONTENTS
———————————————————
qccd_code2018/
|-R/ (all of our R code lives here)
|---run_benchmarks/ (scripts for running qccd across different benchmarks)
|-data/ |—ANHNMN/ (simulated)
|-----AN-Gauss/
|-----AN-s/
|-----HN/
|-----HN-s/
|-----MN/
|-----MN-s/
|---SIM_pairs/ (Mooij 2016) |-----SIM/
|-----SIM-G/
|-----SIM-c/
|-----SIM-ln/
|---tuebingen_benchmark/ (real data Mooij 2016) Set working directory to setwd("~/qccd_code2018/R")
The file ~R/cd_utils.R contains a wrapper around our causal discovery method.
EXAMPLES
———————————————————
See R/run_benchmarks for examples.
PACKAGES REQUIRED
———————————————————
install.packages(“Hmisc”)
install.packages(“rvinecopulib”)
install.packages(“statmod”)
install.packages(“tnagler”)
install.packages(“igraph”)
install.packages(“pcalg”)
install.packages(“ggraph”)
COPYING
———————————————————
See COPYING for license terms.

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - guhjy/qccd_code · GitHub
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This repository is part of the supplementary material for the paper:
N. Tagasovska, T. Vatter, V. Chavez-Demoulin, "Nonparametric Quantile-Based Causal Discovery”, 2018.
Availabe on arXiv: https://arxiv.org/pdf/1801.10579.pdf.
CONTENTS
———————————————————
qccd_code2018/
|-R/ (all of our R code lives here)
|---run_benchmarks/ (scripts for running qccd across different benchmarks)
|-data/ |—ANHNMN/ (simulated)
|-----AN-Gauss/
|-----AN-s/
|-----HN/
|-----HN-s/
|-----MN/
|-----MN-s/
|---SIM_pairs/ (Mooij 2016) |-----SIM/
|-----SIM-G/
|-----SIM-c/
|-----SIM-ln/
|---tuebingen_benchmark/ (real data Mooij 2016) Set working directory to setwd("~/qccd_code2018/R")
The file ~R/cd_utils.R contains a wrapper around our causal discovery method.
EXAMPLES
———————————————————
See R/run_benchmarks for examples.
PACKAGES REQUIRED
———————————————————
install.packages(“Hmisc”)
install.packages(“rvinecopulib”)
install.packages(“statmod”)
install.packages(“tnagler”)
install.packages(“igraph”)
install.packages(“pcalg”)
install.packages(“ggraph”)
COPYING
———————————————————
See COPYING for license terms.

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' GitHub - guhjy/qccd_code · GitHub
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This repository is part of the supplementary material for the paper:
N. Tagasovska, T. Vatter, V. Chavez-Demoulin, "Nonparametric Quantile-Based Causal Discovery”, 2018.
Availabe on arXiv: https://arxiv.org/pdf/1801.10579.pdf.
CONTENTS
———————————————————
qccd_code2018/
|-R/ (all of our R code lives here)
|---run_benchmarks/ (scripts for running qccd across different benchmarks)
|-data/ |—ANHNMN/ (simulated)
|-----AN-Gauss/
|-----AN-s/
|-----HN/
|-----HN-s/
|-----MN/
|-----MN-s/
|---SIM_pairs/ (Mooij 2016) |-----SIM/
|-----SIM-G/
|-----SIM-c/
|-----SIM-ln/
|---tuebingen_benchmark/ (real data Mooij 2016) Set working directory to setwd("~/qccd_code2018/R")
The file ~R/cd_utils.R contains a wrapper around our causal discovery method.
EXAMPLES
———————————————————
See R/run_benchmarks for examples.
PACKAGES REQUIRED
———————————————————
install.packages(“Hmisc”)
install.packages(“rvinecopulib”)
install.packages(“statmod”)
install.packages(“tnagler”)
install.packages(“igraph”)
install.packages(“pcalg”)
install.packages(“ggraph”)
COPYING
———————————————————
See COPYING for license terms.

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - guhjy/qccd_code · GitHub
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This repository is part of the supplementary material for the paper:
N. Tagasovska, T. Vatter, V. Chavez-Demoulin, "Nonparametric Quantile-Based Causal Discovery”, 2018.
Availabe on arXiv: https://arxiv.org/pdf/1801.10579.pdf.
CONTENTS
———————————————————
qccd_code2018/
|-R/ (all of our R code lives here)
|---run_benchmarks/ (scripts for running qccd across different benchmarks)
|-data/ |—ANHNMN/ (simulated)
|-----AN-Gauss/
|-----AN-s/
|-----HN/
|-----HN-s/
|-----MN/
|-----MN-s/
|---SIM_pairs/ (Mooij 2016) |-----SIM/
|-----SIM-G/
|-----SIM-c/
|-----SIM-ln/
|---tuebingen_benchmark/ (real data Mooij 2016) Set working directory to setwd("~/qccd_code2018/R")
The file ~R/cd_utils.R contains a wrapper around our causal discovery method.
EXAMPLES
———————————————————
See R/run_benchmarks for examples.
PACKAGES REQUIRED
———————————————————
install.packages(“Hmisc”)
install.packages(“rvinecopulib”)
install.packages(“statmod”)
install.packages(“tnagler”)
install.packages(“igraph”)
install.packages(“pcalg”)
install.packages(“ggraph”)
COPYING
———————————————————
See COPYING for license terms.

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); })(); GitHub - guhjy/qccd_code · GitHub
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This repository is part of the supplementary material for the paper:
N. Tagasovska, T. Vatter, V. Chavez-Demoulin, "Nonparametric Quantile-Based Causal Discovery”, 2018.
Availabe on arXiv: https://arxiv.org/pdf/1801.10579.pdf.
CONTENTS
———————————————————
qccd_code2018/
|-R/ (all of our R code lives here)
|---run_benchmarks/ (scripts for running qccd across different benchmarks)
|-data/ |—ANHNMN/ (simulated)
|-----AN-Gauss/
|-----AN-s/
|-----HN/
|-----HN-s/
|-----MN/
|-----MN-s/
|---SIM_pairs/ (Mooij 2016) |-----SIM/
|-----SIM-G/
|-----SIM-c/
|-----SIM-ln/
|---tuebingen_benchmark/ (real data Mooij 2016) Set working directory to setwd("~/qccd_code2018/R")
The file ~R/cd_utils.R contains a wrapper around our causal discovery method.
EXAMPLES
———————————————————
See R/run_benchmarks for examples.
PACKAGES REQUIRED
———————————————————
install.packages(“Hmisc”)
install.packages(“rvinecopulib”)
install.packages(“statmod”)
install.packages(“tnagler”)
install.packages(“igraph”)
install.packages(“pcalg”)
install.packages(“ggraph”)
COPYING
———————————————————
See COPYING for license terms.

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