Comments (4)
I believe the only way to do it at present it to pass extra information in as global variables. In R, if a function can't find a variable in its own environment, it looks in the parent environment. So any variables in the global environment are available inside the function. e.g.
print(environment())
a <- "myglobal"
f <- function(x){
print(environment())
print(paste(x, "+", a))
}
f("myargument")
http://adv-r.had.co.nz/Environments.html
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I absolutely like the package. It makes my life easy when analyzing uncertainty associated with estimates using a MCMC approach. It would be great if the package allows us to pass extra argument to the likelihood function in a future version. It may be just a personal preference, but I feel that it makes code flows better when I write small modular functions rather than a big function that lumps everything into it.
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Hi DJackCai / all,
apologies, it seems I forgot responding to this issue. Note that this is identical to #200, so see discussion there.
As @woodwards says, in the current version of BT, this can be done by accessing a global variable. So, define your data outside the likelihood, then you should be able to switch.
I personally never saw the need for passing data arguments to the likelihood, but given that so many people want to use it, I'm happy to consider if this can be done with the next revision of BT.
Best
F
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Hi Florian,
Thanks for your feedback! I just write a wrapper function that glues everything into my likelihood function for now. I would highly appreciate it if you could consider adding this feature in next revision of BT :)
Rui
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Related Issues (20)
- Unwritable Outputs For Some Random Seeds HOT 7
- CRAN problem (HTML5)
- Combine DE and DEzs code
- CRAN requires HTML5 for documentation HOT 1
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- Metropolis sampler startup error: Matrix seems negative semi-definite HOT 1
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- Vignette - should there be an example for convergence check?? HOT 1
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