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fbseqOpenMP

The fbseqOpenMP package is an internal backend of the fbseq package that runs the Markov chain Monte Carlo (MCMC) procedure behind the scenes. It should install on most machines that have OpenMP, but it is slow for large datasets. For a faster backend, which uses parallel computing via CUDA-capable general-purpose graphics processing units (GPUs), use the fbseqCUDA package.

System requirements

The required R version and R packages listed in the "Depends", "Imports", and "Suggests" fields of the "package's DESCRIPTION file.

Installation

Option 1: install a stable release (recommended).

Navigate to a list of stable releases on the project's GitHub page. Download the desired tar.gz bundle, then install it either with install.packages(..., repos = NULL, type="source") from within R R CMD INSTALL from the Unix/Linux command line.

Option 2: use install_github to install the development version.

For this option, you need the devtools package, available from CRAN or GitHub. Open R and run

library(devtools)
install_github("wlandau/fbseqOpenMP")

Option 3: build the development version from the source.

Open a command line program such as Terminal in Mac/Linux and enter the following commands.

git clone git@github.com:wlandau/fbseqOpenMP.git
R CMD build fbseqOpenMP
R CMD INSTALL ...

where ... is replaced by the name of the tarball produced by R CMD build.

Check OpenMP

To check if OpenMP is correctly enabled for the package, run fbseqOpenMP::check_OpenMP().

About

Light backend of the fbseq package. Makes use of parallelism through OpenMP if R is compiled with OpenMP support.

Resources

Readme
Activity

Stars

0 stars

Watchers

4 watching

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1 fork
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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DOI
fbseqOpenMP
The fbseqOpenMP package is an internal backend of the fbseq package that runs the Markov chain Monte Carlo (MCMC) procedure behind the scenes. It should install on most machines that have OpenMP, but it is slow for large datasets. For a faster backend, which uses parallel computing via CUDA-capable general-purpose graphics processing units (GPUs), use the fbseqCUDA package.
System requirements
The required R version and R packages listed in the "Depends", "Imports", and "Suggests" fields of the "package's DESCRIPTION file.
Installation
Option 1: install a stable release (recommended).
Navigate to a list of stable releases on the project's GitHub page. Download the desired tar.gz bundle, then install it either with install.packages(..., repos = NULL, type="source") from within R R CMD INSTALL from the Unix/Linux command line.
Option 2: use install_github to install the development version.
For this option, you need the devtools package, available from CRAN or GitHub. Open R and run
library(devtools)
install_github("wlandau/fbseqOpenMP")

Option 3: build the development version from the source.
Open a command line program such as Terminal in Mac/Linux and enter the following commands.
git clone git@github.com:wlandau/fbseqOpenMP.git
R CMD build fbseqOpenMP
R CMD INSTALL ...

where ... is replaced by the name of the tarball produced by R CMD build.
Check OpenMP
To check if OpenMP is correctly enabled for the package, run fbseqOpenMP::check_OpenMP().
About
Light backend of the fbseq package. Makes use of parallelism through OpenMP if R is compiled with OpenMP support.
Resources
Readme
Activity
Stars
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Watchers
4 watching
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1 fork
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Repository files navigation
DOI
fbseqOpenMP
The fbseqOpenMP package is an internal backend of the fbseq package that runs the Markov chain Monte Carlo (MCMC) procedure behind the scenes. It should install on most machines that have OpenMP, but it is slow for large datasets. For a faster backend, which uses parallel computing via CUDA-capable general-purpose graphics processing units (GPUs), use the fbseqCUDA package.
System requirements
The required R version and R packages listed in the "Depends", "Imports", and "Suggests" fields of the "package's DESCRIPTION file.
Installation
Option 1: install a stable release (recommended).
Navigate to a list of stable releases on the project's GitHub page. Download the desired tar.gz bundle, then install it either with install.packages(..., repos = NULL, type="source") from within R R CMD INSTALL from the Unix/Linux command line.
Option 2: use install_github to install the development version.
For this option, you need the devtools package, available from CRAN or GitHub. Open R and run
library(devtools)
install_github("wlandau/fbseqOpenMP")

Option 3: build the development version from the source.
Open a command line program such as Terminal in Mac/Linux and enter the following commands.
git clone git@github.com:wlandau/fbseqOpenMP.git
R CMD build fbseqOpenMP
R CMD INSTALL ...

where ... is replaced by the name of the tarball produced by R CMD build.
Check OpenMP
To check if OpenMP is correctly enabled for the package, run fbseqOpenMP::check_OpenMP().
About
Light backend of the fbseq package. Makes use of parallelism through OpenMP if R is compiled with OpenMP support.
Resources
Readme
Activity
Stars
0 stars
Watchers
4 watching
Forks
1 fork
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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README.md
Repository files navigation
DOI
fbseqOpenMP
The fbseqOpenMP package is an internal backend of the fbseq package that runs the Markov chain Monte Carlo (MCMC) procedure behind the scenes. It should install on most machines that have OpenMP, but it is slow for large datasets. For a faster backend, which uses parallel computing via CUDA-capable general-purpose graphics processing units (GPUs), use the fbseqCUDA package.
System requirements
The required R version and R packages listed in the "Depends", "Imports", and "Suggests" fields of the "package's DESCRIPTION file.
Installation
Option 1: install a stable release (recommended).
Navigate to a list of stable releases on the project's GitHub page. Download the desired tar.gz bundle, then install it either with install.packages(..., repos = NULL, type="source") from within R R CMD INSTALL from the Unix/Linux command line.
Option 2: use install_github to install the development version.
For this option, you need the devtools package, available from CRAN or GitHub. Open R and run
library(devtools)
install_github("wlandau/fbseqOpenMP")

Option 3: build the development version from the source.
Open a command line program such as Terminal in Mac/Linux and enter the following commands.
git clone git@github.com:wlandau/fbseqOpenMP.git
R CMD build fbseqOpenMP
R CMD INSTALL ...

where ... is replaced by the name of the tarball produced by R CMD build.
Check OpenMP
To check if OpenMP is correctly enabled for the package, run fbseqOpenMP::check_OpenMP().
About
Light backend of the fbseq package. Makes use of parallelism through OpenMP if R is compiled with OpenMP support.
Resources
Readme
Activity
Stars
0 stars
Watchers
4 watching
Forks
1 fork
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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DESCRIPTION
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NAMESPACE
README.md
README.md
Repository files navigation
DOI
fbseqOpenMP
The fbseqOpenMP package is an internal backend of the fbseq package that runs the Markov chain Monte Carlo (MCMC) procedure behind the scenes. It should install on most machines that have OpenMP, but it is slow for large datasets. For a faster backend, which uses parallel computing via CUDA-capable general-purpose graphics processing units (GPUs), use the fbseqCUDA package.
System requirements
The required R version and R packages listed in the "Depends", "Imports", and "Suggests" fields of the "package's DESCRIPTION file.
Installation
Option 1: install a stable release (recommended).
Navigate to a list of stable releases on the project's GitHub page. Download the desired tar.gz bundle, then install it either with install.packages(..., repos = NULL, type="source") from within R R CMD INSTALL from the Unix/Linux command line.
Option 2: use install_github to install the development version.
For this option, you need the devtools package, available from CRAN or GitHub. Open R and run
library(devtools)
install_github("wlandau/fbseqOpenMP")

Option 3: build the development version from the source.
Open a command line program such as Terminal in Mac/Linux and enter the following commands.
git clone git@github.com:wlandau/fbseqOpenMP.git
R CMD build fbseqOpenMP
R CMD INSTALL ...

where ... is replaced by the name of the tarball produced by R CMD build.
Check OpenMP
To check if OpenMP is correctly enabled for the package, run fbseqOpenMP::check_OpenMP().
About
Light backend of the fbseq package. Makes use of parallelism through OpenMP if R is compiled with OpenMP support.
Resources
Readme
Activity
Stars
0 stars
Watchers
4 watching
Forks
1 fork
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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README.md
Repository files navigation
DOI
fbseqOpenMP
The fbseqOpenMP package is an internal backend of the fbseq package that runs the Markov chain Monte Carlo (MCMC) procedure behind the scenes. It should install on most machines that have OpenMP, but it is slow for large datasets. For a faster backend, which uses parallel computing via CUDA-capable general-purpose graphics processing units (GPUs), use the fbseqCUDA package.
System requirements
The required R version and R packages listed in the "Depends", "Imports", and "Suggests" fields of the "package's DESCRIPTION file.
Installation
Option 1: install a stable release (recommended).
Navigate to a list of stable releases on the project's GitHub page. Download the desired tar.gz bundle, then install it either with install.packages(..., repos = NULL, type="source") from within R R CMD INSTALL from the Unix/Linux command line.
Option 2: use install_github to install the development version.
For this option, you need the devtools package, available from CRAN or GitHub. Open R and run
library(devtools)
install_github("wlandau/fbseqOpenMP")

Option 3: build the development version from the source.
Open a command line program such as Terminal in Mac/Linux and enter the following commands.
git clone git@github.com:wlandau/fbseqOpenMP.git
R CMD build fbseqOpenMP
R CMD INSTALL ...

where ... is replaced by the name of the tarball produced by R CMD build.
Check OpenMP
To check if OpenMP is correctly enabled for the package, run fbseqOpenMP::check_OpenMP().
About
Light backend of the fbseq package. Makes use of parallelism through OpenMP if R is compiled with OpenMP support.
Resources
Readme
Activity
Stars
0 stars
Watchers
4 watching
Forks
1 fork
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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README.md
Repository files navigation
DOI
fbseqOpenMP
The fbseqOpenMP package is an internal backend of the fbseq package that runs the Markov chain Monte Carlo (MCMC) procedure behind the scenes. It should install on most machines that have OpenMP, but it is slow for large datasets. For a faster backend, which uses parallel computing via CUDA-capable general-purpose graphics processing units (GPUs), use the fbseqCUDA package.
System requirements
The required R version and R packages listed in the "Depends", "Imports", and "Suggests" fields of the "package's DESCRIPTION file.
Installation
Option 1: install a stable release (recommended).
Navigate to a list of stable releases on the project's GitHub page. Download the desired tar.gz bundle, then install it either with install.packages(..., repos = NULL, type="source") from within R R CMD INSTALL from the Unix/Linux command line.
Option 2: use install_github to install the development version.
For this option, you need the devtools package, available from CRAN or GitHub. Open R and run
library(devtools)
install_github("wlandau/fbseqOpenMP")

Option 3: build the development version from the source.
Open a command line program such as Terminal in Mac/Linux and enter the following commands.
git clone git@github.com:wlandau/fbseqOpenMP.git
R CMD build fbseqOpenMP
R CMD INSTALL ...

where ... is replaced by the name of the tarball produced by R CMD build.
Check OpenMP
To check if OpenMP is correctly enabled for the package, run fbseqOpenMP::check_OpenMP().
About
Light backend of the fbseq package. Makes use of parallelism through OpenMP if R is compiled with OpenMP support.
Resources
Readme
Activity
Stars
0 stars
Watchers
4 watching
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1 fork
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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fbseqOpenMP
The fbseqOpenMP package is an internal backend of the fbseq package that runs the Markov chain Monte Carlo (MCMC) procedure behind the scenes. It should install on most machines that have OpenMP, but it is slow for large datasets. For a faster backend, which uses parallel computing via CUDA-capable general-purpose graphics processing units (GPUs), use the fbseqCUDA package.
System requirements
The required R version and R packages listed in the "Depends", "Imports", and "Suggests" fields of the "package's DESCRIPTION file.
Installation
Option 1: install a stable release (recommended).
Navigate to a list of stable releases on the project's GitHub page. Download the desired tar.gz bundle, then install it either with install.packages(..., repos = NULL, type="source") from within R R CMD INSTALL from the Unix/Linux command line.
Option 2: use install_github to install the development version.
For this option, you need the devtools package, available from CRAN or GitHub. Open R and run
library(devtools)
install_github("wlandau/fbseqOpenMP")

Option 3: build the development version from the source.
Open a command line program such as Terminal in Mac/Linux and enter the following commands.
git clone git@github.com:wlandau/fbseqOpenMP.git
R CMD build fbseqOpenMP
R CMD INSTALL ...

where ... is replaced by the name of the tarball produced by R CMD build.
Check OpenMP
To check if OpenMP is correctly enabled for the package, run fbseqOpenMP::check_OpenMP().
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Light backend of the fbseq package. Makes use of parallelism through OpenMP if R is compiled with OpenMP support.
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