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* allow articles in git * sandwich * no changes * wip before major updates * wip working... * works * wip * wip updating * updates before editing * rm data with weights * first vignette * able to rerun everything * finished pass * Update .gitignore Co-authored-by: Isaac Gravestock <83659704+gravesti@users.noreply.github.com> * Update vignettes/references.bib Co-authored-by: Isaac Gravestock <83659704+gravesti@users.noreply.github.com> * wip * add lilly as contributor * WIP * wip2 * finished first pass * rebuilt * DESC update --------- Co-authored-by: Isaac Gravestock <83659704+gravesti@users.noreply.github.com>
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DESCRIPTION

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@@ -34,6 +34,18 @@ Authors@R: c(
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role = c("ctb"),
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email = "mingyang.shan@lilly.com"
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),
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person(
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given = "Kexin",
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family = "Jin",
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role = c("ctb"),
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email = "kexin.jin@bms.com"
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),
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person(
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given = "Zhi",
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family = "Yang",
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role = c("ctb"),
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email = "zhi.yang@bms.com"
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),
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person("Genentech, Inc.", role = c("cph", "fnd"))
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)
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Description: Bayesian dynamic borrowing is an approach to incorporating external
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vignettes/match_weight_01_methods.Rmd

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#> Constants calculation time: 0.003 minutes
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#> Intercorrelation calculation time: 0.001 minutes
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#> Error loop calculation time: 0 minutes
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#> Total Simulation time: 0.005 minutes
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```
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vignettes/match_weight_02_application.Rmd

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#> Mean chain execution time: 12.5 seconds.
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#> Total execution time: 38.0 seconds.
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draws1 <- results.exp.psborrow$draws()
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draws1 <- rename_draws_covariates(draws1, anls_obj)
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```
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)
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#> Running MCMC with 3 sequential chains...
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#>
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#> Chain 1 finished in 4.1 seconds.
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#> Chain 2 finished in 4.1 seconds.
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#> Chain 3 finished in 4.0 seconds.

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