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(v1.5.0.9006) major documentation update

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dr. M.S. (Matthijs) Berends
2021-01-18 16:57:56 +01:00
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docs/reference/resistance_predict.html
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</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9003</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9006</span>
</span>
</div>
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</tr>
<tr>
<th>model</th>
<td><p>the statistical model of choice. This could be a generalised linear regression model with binomial distribution (i.e. using `glm(..., family = binomial)``, assuming that a period of zero resistance was followed by a period of increasing resistance leading slowly to more and more resistance. See Details for all valid options.</p></td>
<td><p>the statistical model of choice. This could be a generalised linear regression model with binomial distribution (i.e. using `glm(..., family = binomial)``, assuming that a period of zero resistance was followed by a period of increasing resistance leading slowly to more and more resistance. See <em>Details</em> for all valid options.</p></td>
</tr>
<tr>
<th>I_as_S</th>
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<li><p><code>estimated</code>, the estimated resistant percentages, calculated by the model</p></li>
</ul>
<p>Furthermore, the model itself is available as an attribute: <code>attributes(x)$model</code>, please see <em>Examples</em>.</p>
<p>Furthermore, the model itself is available as an attribute: <code>attributes(x)$model</code>, see <em>Examples</em>.</p>
<h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
<p>Valid options for the statistical model (argument <code>model</code>) are:</p><ul>
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<li><p><code>"lin"</code> or <code>"linear"</code>: a linear regression model</p></li>
</ul>
<h2 class="hasAnchor" id="maturing-lifecycle"><a class="anchor" href="#maturing-lifecycle"></a>Maturing lifecycle</h2>
<h2 class="hasAnchor" id="maturing-lifecycle"><a class="anchor" href="#maturing-lifecycle"></a>Maturing Lifecycle</h2>
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</ul>
<p>This AMR package honours this new insight. Use <code><a href='proportion.html'>susceptibility()</a></code> (equal to <code><a href='proportion.html'>proportion_SI()</a></code>) to determine antimicrobial susceptibility and <code><a href='count.html'>count_susceptible()</a></code> (equal to <code><a href='count.html'>count_SI()</a></code>) to count susceptible isolates.</p>
<h2 class="hasAnchor" id="read-more-on-our-website-"><a class="anchor" href="#read-more-on-our-website-"></a>Read more on our website!</h2>
<h2 class="hasAnchor" id="read-more-on-our-website-"><a class="anchor" href="#read-more-on-our-website-"></a>Read more on Our Website!</h2>