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SEO Optimization for selection.index - Added meta tags, JSON-LD, sitemap, robots.txt, and verification
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‎_pkgdown.yml‎

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url: https://zankrut20.github.io/selection.index/
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lang: en
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home:
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title: "selection.index — R Package for Multi-Trait Selection Indices in Plant Breeding"
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description: >
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selection.index is a production-ready R package for plant breeders and
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quantitative geneticists. Compute classical phenotypic, genomic,
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marker-assisted, restricted, constrained, and eigen selection indices.
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Maximize genetic advance with multi-trait LPSI, LGSI, LMSI, and stochastic
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simulation tools based on economic weights and heritability estimates.
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repo:
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url:
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home: https://github.com/zankrut20/selection.index
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source: https://github.com/zankrut20/selection.index/blob/master/
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issue: https://github.com/zankrut20/selection.index/issues/
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user: https://github.com/
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template:
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bootstrap: 5
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bslib:
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preset: darkly
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light-switch: true
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includes:
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in_header: pkgdown/includes/in_header.html
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params:
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ganalytics: ~
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navbar:
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title: "selection.index"
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left:
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- text: Reference
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href: reference/index.html
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- text: Articles
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menu:
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- text: Getting Started
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href: articles/getting-started.html
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- text: Linear Phenotypic Selection Index
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href: articles/linear-phenotypic-selection-index.html
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- text: Constrained Linear Phenotypic Indices
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href: articles/constrained-linear-phenotypic-selection-indices.html
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- text: Linear Marker Selection Indices
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href: articles/linear-marker-selection-indices.html
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- text: Linear Genomic Selection Indices
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href: articles/linear-genomic-selection-indices.html
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- text: Constrained Linear Genomic Indices
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href: articles/constrained-linear-genomic-selection-indices.html
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- text: Phenotypic Eigen Selection Index Methods
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href: articles/linear-phenotypic-eigen-selection-index-methods.html
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- text: Genomic Eigen Selection Index Methods
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href: articles/linear-genomic-eigen-selection-index-methods.html
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- text: Multistage Linear Selection Indices
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href: articles/multistage-linear-selection-indices.html
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- text: Stochastic Simulation of Phenotypic Indices
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href: articles/stochastic-simulation-linear-phenotypic-indices.html
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- text: Changelog
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href: news/index.html
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footer:
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structure:
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left: developed_by
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right: built_with
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components:
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developed_by: >
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Developed by [Zankrut Goyani](https://github.com/zankrut20).
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© 2026 Zankrut Goyani. Licensed under
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[GPL-3](https://www.gnu.org/licenses/gpl-3.0).
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articles:
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- title: Articles

‎docs/extra.js‎

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/* Force default dark mode if no user preference is stored. */
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window.addEventListener('DOMContentLoaded', function () {
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if (localStorage.getItem('theme') === null) {
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document.documentElement.setAttribute('data-bs-theme', 'dark');
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var darkButton = document.querySelector('[data-bs-theme-value="dark"]');
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if (darkButton) {
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// Simulate click to update button state and lightswitch.js internal state
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darkButton.click();
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// Remove it from localStorage so it doesn't force this preference later
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localStorage.removeItem('theme');
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}
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}
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/* ── SEO: canonical link ─────────────────────────────────────────── */
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if (!document.querySelector('link[rel="canonical"]')) {
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var canonical = document.createElement('link');
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canonical.rel = 'canonical';
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canonical.href = window.location.href.split('?')[0].split('#')[0];
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document.head.appendChild(canonical);
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}
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/* ── SEO: meta keywords ──────────────────────────────────────────── */
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if (!document.querySelector('meta[name="keywords"]')) {
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var kw = document.createElement('meta');
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kw.name = 'keywords';
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kw.content = [
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'selection index', 'plant breeding', 'quantitative genetics',
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'R package', 'CRAN', 'genomic selection', 'marker-assisted selection',
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'genetic advance', 'phenotypic selection', 'LPSI', 'LGSI', 'LMSI',
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'eigen selection index', 'multistage selection', 'stochastic simulation',
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'heritability', 'variance-covariance matrix', 'economic weights',
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'breeding pipeline', 'selection.index'
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].join(', ');
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document.head.appendChild(kw);
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}
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/* ── SEO: Open Graph type (pkgdown sets title/desc, we fix type) ─── */
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var ogType = document.querySelector('meta[property="og:type"]');
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if (!ogType) {
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var meta = document.createElement('meta');
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meta.setAttribute('property', 'og:type');
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meta.content = 'website';
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document.head.appendChild(meta);
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}
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/* ── SEO: Twitter Card tags ──────────────────────────────────────── */
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var twitterCard = document.querySelector('meta[name="twitter:card"]');
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if (!twitterCard) {
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[
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{ name: 'twitter:card', content: 'summary' },
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{ name: 'twitter:title', content: document.title },
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{ name: 'twitter:description', content: (document.querySelector('meta[name="description"]') || {}).content || '' },
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{ name: 'twitter:site', content: '@zankrut20' }
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].forEach(function (attrs) {
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var m = document.createElement('meta');
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m.name = attrs.name;
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m.content = attrs.content;
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document.head.appendChild(m);
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});
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}
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/* ── SEO: JSON-LD SoftwareApplication structured data ────────────── */
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if (!document.querySelector('script[type="application/ld+json"]')) {
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var schema = {
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'@context': 'https://schema.org',
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'@type': 'SoftwareApplication',
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'name': 'selection.index',
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'alternateName': 'selection.index R Package',
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'description': 'A production-ready R package for plant breeders and quantitative geneticists to compute classical phenotypic, genomic, marker-assisted, restricted, constrained, and eigen selection indices. Maximizes genetic advance with multi-trait LPSI, LGSI, LMSI, and stochastic simulation tools.',
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'applicationCategory': 'ScientificApplication',
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'applicationSubCategory': 'Plant Breeding & Quantitative Genetics',
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'operatingSystem': 'Windows, macOS, Linux',
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'programmingLanguage': 'R',
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'softwareVersion': '2.0.1',
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'dateModified': '2026-03-06',
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'license': 'https://www.gnu.org/licenses/gpl-3.0',
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'url': 'https://zankrut20.github.io/selection.index/',
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'downloadUrl': 'https://cran.r-project.org/package=selection.index',
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'installUrl': 'https://cran.r-project.org/package=selection.index',
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'author': {
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'@type': 'Person',
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'name': 'Zankrut Goyani',
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'email': 'zankrut20@gmail.com',
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'url': 'https://github.com/zankrut20'
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},
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'maintainer': {
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'@type': 'Person',
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'name': 'Zankrut Goyani',
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'email': 'zankrut20@gmail.com'
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},
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'publisher': {
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'@type': 'Person',
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'name': 'Zankrut Goyani'
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},
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'sameAs': [
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'https://github.com/zankrut20/selection.index',
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'https://cran.r-project.org/package=selection.index',
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'https://cloud.r-project.org/package=selection.index'
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],
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'offers': {
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'@type': 'Offer',
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'price': '0',
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'priceCurrency': 'USD'
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},
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'keywords': [
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'selection index', 'plant breeding', 'quantitative genetics',
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'genomic selection', 'marker-assisted selection', 'LPSI', 'LGSI',
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'eigen selection index', 'multistage selection', 'stochastic simulation',
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'genetic advance', 'heritability', 'R package'
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]
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};
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var ld = document.createElement('script');
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ld.type = 'application/ld+json';
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ld.textContent = JSON.stringify(schema, null, 2);
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document.head.appendChild(ld);
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}
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});
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