Closed jscamac closed 9 years ago
Stan has very large outputs by default. Especially when we are fitting 180,000 observations.
I'm trying to reduce this by thinning but also by implementing the following code before saving.
I've also implemented the following line of code prior to saving outputs stanfit@.MISC <- emptyenv() As recommended here https://groups.google.com/forum/#!searchin/stan-users/stanfit@.MISC$20%3C-$20new.env(parent$20$3D$20globalenv())/stan-users/mp4wF42zjws/t6B7-MCMcSkJ
stanfit@.MISC <- emptyenv()
This means that to examine summary outputs the following must be run after the model output is loaded
load("savefile.Rdata") stanfit@.MISC <- new.env(parent = globalenv())
load("savefile.Rdata")
stanfit@.MISC <- new.env(parent = globalenv())
Stan has very large outputs by default. Especially when we are fitting 180,000 observations.
I'm trying to reduce this by thinning but also by implementing the following code before saving.
I've also implemented the following line of code prior to saving outputs
stanfit@.MISC <- emptyenv()As recommended here https://groups.google.com/forum/#!searchin/stan-users/stanfit@.MISC$20%3C-$20new.env(parent$20$3D$20globalenv())/stan-users/mp4wF42zjws/t6B7-MCMcSkJThis means that to examine summary outputs the following must be run after the model output is loaded
load("savefile.Rdata")stanfit@.MISC <- new.env(parent = globalenv())