Comments (4)
I think those transformations should be there by default, so users have information about the underlying algorithm. The primary purpose of map2stan is pedagogy, so I always err on the side of revelation.
If you don't need those redundancies in your context, or you encounter memory constraints, you can use an explicit pars list to get samples for only some of the available parameters.
Be aware though that there is a hidden "dev" parameter that holds the deviance. It's used to compute DIC. If you omit "dev" from the pars list, DIC calculation will break.
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Makes sense, thanks! :-)
from rethinking.
I'll make a note on this issue to make it easier to remove specific parameters from the returned samples. The idea would be to allow something like:
pars_omit=c("L_*","z_*")
in the map2stan arguments.
from rethinking.
That would certainly be great!
from rethinking.
Related Issues (20)
- 2nd edition errata: p. 445, discussion of Fig. 14.5 describes 1st edition Fig. 13.5
- Feature request: Add a template for shifted lognormal distribution HOT 2
- Does the rethinking package work using the newest version of R - 4.2.2? HOT 1
- Nevermind HOT 2
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- Smooth functions of a variable - modeling syntax HOT 2
- Problem with R code 9.14 on Mac OS
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- Zero Inflated Negative Binomial Model HOT 1
- difference in n_eff of population mean depending on model specification HOT 3
- Comparison length > 1 in `cv_data_slice`.
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- Gamma parameterisation
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- 'reject' stan command conflicts with UCBadmit data
- Chapter 16 Lynx Hare Model Change with Stan 2.33.0? HOT 10
- How to construct a spline model using ulam() HOT 4
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