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src/stan-users-guide/finite-mixtures.qmd
@@ -245,7 +245,7 @@ The model declares a local array variable `lps` to be size
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mixture components. The main action is in the loop over data points
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`n`. For each such point, the log of $\theta_k \times
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\textsf{normal}\left(y_n \mid \mu_k,\sigma_k\right)$ is calculated and added to the
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-array `lpps`. Then the log probability is incremented with the log
+array `lps`. Then the log probability is incremented with the log
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sum of exponentials of those values.
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## Vectorizing mixtures
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