Sequential Bayes: Utilizing the Posterior Distribution â¢ Rnaught

X-Git-Url: https://git.nmode.ca/Rnaught/blobdiff_plain/12ec5983556b900dfe0abbd8b55b4fb2bc84a050..bc76ad23903fa44423859275e4c63eb624fd4e45:/articles/seq_bayes_post.html?ds=inline diff --git a/articles/seq_bayes_post.html b/articles/seq_bayes_post.html index 523291d..1317ad0 100644 --- a/articles/seq_bayes_post.html +++ b/articles/seq_bayes_post.html @@ -6,10 +6,16 @@ Sequential Bayes: Utilizing the Posterior Distribution â¢ Rnaught + + + + + + - - + + @@ -29,6 +35,7 @@

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Reference
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In the Sequential Bayes method, the probability distribution of R0 is updated sequentially from one case count to the next, starting from a (discretized) uniform prior. By default, the function -seq_bayes returns the mean of the last updated posterior +seq_bayes() returns the mean of the last updated posterior distribution as its estimate of R0. However, by setting the parameter post to TRUE, it is possible to return the final distribution itself:
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Developed by Sawitree Boonpatcharanon, Jane Heffernan, Hanna Jankowski, Naeem Model.
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Developed by Naeem Model, Sawitree Boonpatcharanon, Jane Heffernan, Hanna Jankowski.