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<body>
<h2 id="viabilitymetrics-seed-viability-calculations-and-curve-fitting-"><code>viabilitymetrics</code>: Seed Viability Calculations and Curve Fitting <img 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" 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<h6 id="version--0009100-copyright-c-2017-2018-icar-nbpgr-license-gpl2gpl-3">Version : <a href="https://aravind-j.github.io/viabilitymetrics/articles/Introduction.html#version-history">0.0.0.9100</a>; Copyright (C) 2017-2018: <a href="http://www.nbpgr.ernet.in/">ICAR-NBPGR</a>; License: <a href="https://www.r-project.org/Licenses/">GPL2|GPL-3</a></h6>
<h5 id="aravind-j-radhamani-j-vimala-devi-s-jacob-s-r-and-kalyani-srinivasan"><em>Aravind, J., Radhamani, J., Vimala Devi, S., Jacob, S. R., and Kalyani Srinivasan</em></h5>
<p>ICAR-National Bureau of Plant Genetic Resources, New Delhi</p>
<hr />
<p><a href="https://cran.r-project.org/"><img src="data:image/svg+xml;charset=utf-8;base64,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" alt="minimal R version" /></a> <a href="https://www.gnu.org/licenses/gpl-3.0"><img src="data:image/svg+xml;charset=utf-8;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHhtbG5zOnhsaW5rPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5L3hsaW5rIiB3aWR0aD0iMTAwIiBoZWlnaHQ9IjIwIiByb2xlPSJpbWciIGFyaWEtbGFiZWw9IkxpY2Vuc2U6IEdQTCB2MyI+PHRpdGxlPkxpY2Vuc2U6IEdQTCB2MzwvdGl0bGU+PGxpbmVhckdyYWRpZW50IGlkPSJzIiB4Mj0iMCIgeTI9IjEwMCUiPjxzdG9wIG9mZnNldD0iMCIgc3RvcC1jb2xvcj0iI2JiYiIgc3RvcC1vcGFjaXR5PSIuMSIvPjxzdG9wIG9mZnNldD0iMSIgc3RvcC1vcGFjaXR5PSIuMSIvPjwvbGluZWFyR3JhZGllbnQ+PGNsaXBQYXRoIGlkPSJyIj48cmVjdCB3aWR0aD0iMTAwIiBoZWlnaHQ9IjIwIiByeD0iMyIgZmlsbD0iI2ZmZiIvPjwvY2xpcFBhdGg+PGcgY2xpcC1wYXRoPSJ1cmwoI3IpIj48cmVjdCB3aWR0aD0iNTEiIGhlaWdodD0iMjAiIGZpbGw9IiM1NTUiLz48cmVjdCB4PSI1MSIgd2lkdGg9IjQ5IiBoZWlnaHQ9IjIwIiBmaWxsPSIjMDA3ZWM2Ii8+PHJlY3Qgd2lkdGg9IjEwMCIgaGVpZ2h0PSIyMCIgZmlsbD0idXJsKCNzKSIvPjwvZz48ZyBmaWxsPSIjZmZmIiB0ZXh0LWFuY2hvcj0ibWlkZGxlIiBmb250LWZhbWlseT0iVmVyZGFuYSxHZW5ldmEsRGVqYVZ1IFNhbnMsc2Fucy1zZXJpZiIgdGV4dC1yZW5kZXJpbmc9Imdlb21ldHJpY1ByZWNpc2lvbiIgZm9udC1zaXplPSIxMTAiPjx0ZXh0IGFyaWEtaGlkZGVuPSJ0cnVlIiB4PSIyNjUiIHk9IjE1MCIgZmlsbD0iIzAxMDEwMSIgZmlsbC1vcGFjaXR5PSIuMyIgdHJhbnNmb3JtPSJzY2FsZSguMSkiIHRleHRMZW5ndGg9IjQxMCI+TGljZW5zZTwvdGV4dD48dGV4dCB4PSIyNjUiIHk9IjE0MCIgdHJhbnNmb3JtPSJzY2FsZSguMSkiIGZpbGw9IiNmZmYiIHRleHRMZW5ndGg9IjQxMCI+TGljZW5zZTwvdGV4dD48dGV4dCBhcmlhLWhpZGRlbj0idHJ1ZSIgeD0iNzQ1IiB5PSIxNTAiIGZpbGw9IiMwMTAxMDEiIGZpbGwtb3BhY2l0eT0iLjMiIHRyYW5zZm9ybT0ic2NhbGUoLjEpIiB0ZXh0TGVuZ3RoPSIzOTAiPkdQTCB2MzwvdGV4dD48dGV4dCB4PSI3NDUiIHk9IjE0MCIgdHJhbnNmb3JtPSJzY2FsZSguMSkiIGZpbGw9IiNmZmYiIHRleHRMZW5ndGg9IjM5MCI+R1BMIHYzPC90ZXh0PjwvZz48L3N2Zz4=" alt="License: GPL v3" /></a> <a href="https://cran.r-project.org/package=viabilitymetrics"><img src="data:image/svg+xml; charset=utf-8;base64,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" alt="CRAN_Status_Badge" /></a></p>
<!-- [](https://CRAN.R-project.org/package=viabilitymetrics) -->
<!-- [](https://github.com/aravind-j/viabilitymetrics) -->
<p><a href="https://github.com/aravind-j/viabilitymetrics"><img src="data:image/svg+xml;charset=utf-8;base64,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" alt="develVersion" /></a></p>
<!-- [] -->
<p><a href="https://www.repostatus.org/#wip"><img src="data:image/svg+xml;base64,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" alt="Project Status: WIP" /></a> <a href="https://lifecycle.r-lib.org/articles/stages.html#maturing"><img 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alt="lifecycle" /></a> <a href="/commits/master"><img 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alt="Last-changedate" /></a></p>
<!-- [](https://www.rdocumentation.org/packages/viabilitymetrics) -->
<!-- [](https://doi.org/10.5281/zenodo.841963) -->
<p><a href="https://github.com/aravind-j/google-analytics-beacon"><img src="data:text/html; charset=UTF-8,%0A%3Chtml%3E%3Chead%3E%0A%3Cmeta%20http%2Dequiv%3D%22content%2Dtype%22%20content%3D%22text%2Fhtml%3Bcharset%3Dutf%2D8%22%3E%0A%3Ctitle%3E500%20Server%20Error%3C%2Ftitle%3E%0A%3C%2Fhead%3E%0A%3Cbody%20text%3D%23000000%20bgcolor%3D%23ffffff%3E%0A%3Ch1%3EError%3A%20Server%20Error%3C%2Fh1%3E%0A%3Ch2%3EThe%20server%20encountered%20an%20error%20and%20could%20not%20complete%20your%20request%2E%3Cp%3EPlease%20try%20again%20in%2030%20seconds%2E%3C%2Fh2%3E%0A%3Ch2%3E%3C%2Fh2%3E%0A%3C%2Fbody%3E%3C%2Fhtml%3E%0A" alt="Analytics" /></a></p>
<hr />
<h2 id="description">Description</h2>
<!-- An implementation of the improved seed viability equations of Ellis and Roberts (1980) [<doi:10/gcshwj>](https://doi.org/10/gcshwj) and its modification by Mead and Grey (1999) [<doi:10/gcsgt7>](https://doi.org/10/gcsgt7) for seed viability curve fitting and calculation of several seed viability metrics such as storage period, final viability, storage moisture content, storage temperature and days to loose one probit viablity. The package further includes various conversions and transformations associated with seed viability calculations. -->
<p>An implementation of the improved seed viability equations of Ellis and Roberts (1980) <<a href="https://doi.org/10/gcshwj">doi:10/gcshwj</a>> and its modification by Mead and Grey (1999) <<a href="https://doi.org/10/gcsgt7">doi:10/gcsgt7</a>> for seed viability curve fitting and calculation of several seed viability metrics such as storage period, final viability, storage moisture content, storage temperature and days to loose one probit viablity. The package further includes various conversions and transformations associated with seed viability calculations.</p>
<h2 id="installation">Installation</h2>
<h3 id="install-development-version-from-github">Install development version from Github</h3>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1">devtools<span class="op">::</span><span class="kw">install_github</span>(<span class="st">"aravind-j/viabilitymetrics"</span>)</a></code></pre></div>
<h2 id="detailed-tutorial">Detailed tutorial</h2>
<p>For a detailed tutorial on how to used this package type:</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" data-line-number="1"><span class="kw">browseVignettes</span>(<span class="dt">package =</span> <span class="st">'viabilitymetrics'</span>)</a></code></pre></div>
<p>The vignette for the latest version is also available <a href="https://aravind-j.github.io/viabilitymetrics/articles/Introduction.html">online</a>.</p>
<h2 id="whats-new">What’s new</h2>
<p>To know whats new in this version type:</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" data-line-number="1"><span class="kw">news</span>(<span class="dt">package=</span><span class="st">'viabilitymetrics'</span>)</a></code></pre></div>
<h2 id="links">Links</h2>
<!-- [CRAN page](https://cran.r-project.org/package=viabilitymetrics) -->
<p><a href="https://github.com/aravind-j/viabilitymetrics">Github page</a></p>
<p><a href="https://aravind-j.github.io/viabilitymetrics/">Documentation website</a></p>
<!-- [Zenodo DOI](https://doi.org/10.5281/zenodo.841963) -->
<h2 id="citing-viabilitymetrics">Citing <code>viabilitymetrics</code></h2>
<p>To cite the methods in the package use:</p>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" data-line-number="1"><span class="kw">citation</span>(<span class="st">"viabilitymetrics"</span>)</a></code></pre></div>
<pre><code>
To cite the R package 'viabilitymetrics' in publications use:
Aravind, J., Radhamani, J., Vimala Devi, S., Jacob, S. R., and Kalyani Srinivasan (2021).
viabilitymetrics: Seed Viability Calculations and Curve Fitting. R package version 0.0.0.9100,
https://aravind-j.github.io/viabilitymetrics/.
A BibTeX entry for LaTeX users is
@Manual{,
title = {viabilitymetrics: Seed Viability Calculations and Curve Fitting},
author = {J. Aravind and J. Radhamani and S. {Vimala Devi} and Sherry Rachel Jacob and {Kalyani Srinivasan}},
year = {2021},
note = {R package version 0.0.0.9100},
note = {https://aravind-j.github.io/viabilitymetrics/},
}
This free and open-source software implements academic research by the authors and co-workers. If you use
it, please support the project by citing the package.
</code></pre>
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