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<a class="navbar-brand me-2" href="index.html">pfm</a>
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<div class="page-header"><h1 id="pfm">pfm<a class="anchor" aria-label="anchor" href="#pfm"></a>
</h1></div>
<p><a href="https://jranke.r-universe.dev/ui/#package:pfm" class="external-link"><img src="https://jranke.r-universe.dev/badges/pfm" alt="pfm status badge"></a> <a href="https://codecov.io/github/jranke/pfm" class="external-link"><img src="https://codecov.io/github/jranke/pfm/branch/main/graphs/badge.svg" alt="codecov"></a></p>
<p>The R package <strong>pfm</strong> provides some utilities for fate modelling, including dealing with FOCUS pesticide fate modelling tools, (currently only TOXSWA cwa and out files), made available under the GNU public license.</p>
<div class="section level2">
<h2 id="installation">Installation<a class="anchor" aria-label="anchor" href="#installation"></a>
</h2>
<p>The easiest way to install the package is probably to use the <a href="https://jranke.r-universe.dev/pfm" class="external-link">r-universe repo</a>:</p>
<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html" class="external-link">install.packages</a></span><span class="op">(</span><span class="st">"pfm"</span>, repos <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"https://jranke.r-universe.dev"</span>, <span class="st">"https://cran.r-project.org"</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
<p>Alternatively you can install the package using the <code>remotes</code> package. Using <code>quick = TRUE</code> skips docs, multiple-architecture builds, demos, and vignettes.</p>
<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="fu">remotes</span><span class="fu">::</span><span class="fu"><a href="https://remotes.r-lib.org/reference/install_github.html" class="external-link">install_github</a></span><span class="op">(</span><span class="st">"jranke/pfm"</span>, quick <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
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<h2 id="use">Use<a class="anchor" aria-label="anchor" href="#use"></a>
</h2>
<p>Please refer to the <a href="http://pkgdown.jrwb.de/pfm/reference/index.html" class="external-link">reference</a>.</p>
</div>
<div class="section level2">
<h2 id="examples">Examples<a class="anchor" aria-label="anchor" href="#examples"></a>
</h2>
<p>One recent nice example of the usage of this package is the visualisation of a time weighted average for a sawtooth curve obtained from several overlays of mkinfit predictions as shown <a href="http://pkgdown.jrwb.de/pfm/reference/plot.one_box.html" class="external-link">here</a>.</p>
</div>
<div class="section level2">
<h2 id="applications">Applications<a class="anchor" aria-label="anchor" href="#applications"></a>
</h2>
<p>Calculations of predicted environmental concentrations using this package have been used in some publications by Agroscope.</p>
<table class="table">
<tr>
<td>
Korkaric M, Lehto M, Poiger T, de Baan L, Mathis M, Ammann L, Hanke I, Balmer M, Blom JF (2023) Risikoindikatoren für Pflanzenschutzmittel: weiterführende Analysen zur Berechnung. Agroscope Science, 154, 1-48, <a href="https://doi.org/10.34776/as154g" class="external-link">doi:10.34776/as154g</a>
</td>
</tr>
<tr>
<td>
Korkaric M, Ammann L, Hanke I, Schneuwly J, Lehto M, Poiger T, de Baan L, Daniel O, Blom JF (2022) Neue Pflanzenschutzmittel-Risikoindikatoren für die Schweiz. Agrarforschung Schweiz 13, 1-10, <a href="https://doi.org/10.34776/afs13-1" class="external-link">doi:10.34776/afs13-1</a>
</td>
</tr>
<tr>
<td>
Korkaric M, Hanke I, Grossar D, Neuweiler R, Christ B, Wirth J, Hochstrasser M, Dubuis PH, Kuster T, Breitenmoser S, Egger B, Perren S, Schürch S, Aldrich A, Jeker L, Poiger T, Daniel O (2020) Datengrundlage und Kriterien für eine Einschränkung der PSM-Auswahl im ÖLN: Schutz der Oberflächengewässer, der Bienen und des Grundwassers (Metaboliten), sowie agronomische Folgen der Einschränkungen. Agroscope Science, 106, 2020, 1-31. <a href="https://doi.org/10.34776/as106g" class="external-link">doi:10.34776/as106g</a>
</td>
</tr>
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<li><a href="authors.html#citation">Citing pfm</a></li>
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<h2 data-toc-skip>Developers</h2>
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<li>Johannes Ranke <br><small class="roles"> Author, maintainer </small> <a href="https://orcid.org/0000-0003-4371-6538" target="orcid.widget" aria-label="ORCID" class="external-link"><span class="fab fa-orcid orcid" aria-hidden="true"></span></a> </li>
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