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@@ -36,10 +36,11 @@
<meta property="og:title" content="Calculated the log-likelihood of a fitted mkinfit object — logLik.mkinfit" />
-<meta property="og:description" content="This function simply calculates the product of the likelihood densities
-calculated using dnorm, i.e. assuming normal distribution,
-with of the mean predicted by the degradation model, and the standard
-deviation predicted by the error model." />
+<meta property="og:description" content="This function returns the product of the likelihood densities of each
+observed value, as calculated as part of the fitting procedure using
+dnorm, i.e. assuming normal distribution, and with the means
+predicted by the degradation model, and the standard deviations predicted by
+the error model." />
<meta name="twitter:card" content="summary" />
@@ -136,10 +137,11 @@ deviation predicted by the error model." />
</div>
<div class="ref-description">
- <p>This function simply calculates the product of the likelihood densities
-calculated using <code><a href='https://rdrr.io/r/stats/Normal.html'>dnorm</a></code>, i.e. assuming normal distribution,
-with of the mean predicted by the degradation model, and the standard
-deviation predicted by the error model.</p>
+ <p>This function returns the product of the likelihood densities of each
+observed value, as calculated as part of the fitting procedure using
+<code><a href='https://rdrr.io/r/stats/Normal.html'>dnorm</a></code>, i.e. assuming normal distribution, and with the means
+predicted by the degradation model, and the standard deviations predicted by
+the error model.</p>
</div>
<pre class="usage"><span class='co'># S3 method for mkinfit</span>

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