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woodwards avatar woodwards commented on July 20, 2024

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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lirui0321 avatar lirui0321 commented on July 20, 2024

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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florianhartig avatar florianhartig commented on July 20, 2024

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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lirui0321 avatar lirui0321 commented on July 20, 2024

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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