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Merge pull request #64 from revbayes/tutorial_review
Tutorial review
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tutorials/fbd_simple/index.md

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@@ -416,7 +416,7 @@ We will assume that rates vary among characters in our data matrix according to
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For this model, we create a vector of rates named `rates_morpho` which is the product
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of a function `fnDiscretizeGamma()` that
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divides up a gamma distribution into a set of equal-probability bins ($\mathbf{R}$ in Figure {% ref fig_full_model_gm %}).
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Here, our only stochastic node is `alpha_morpho` ($\alpha$ in {% ref fig_full_model_gm %}, which is the shape
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Here, our only stochastic node is `alpha_morpho` ($\alpha$ in {% ref fig_full_model_gm %}), which is the shape
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parameter of the discretized gamma distribution.
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