Comments (7)
Hi,
I'm on vacation currently until July 27th, so I won't be able to provide a fast solution. Nonetheless, I can tell you that finishing support for gamma distributions is on our roadmap but not top priority right now. I will, however, take a close look at this and report back on the status.
Thanks for the interest and feedback!
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That's no problem at all. I just wanted to decide if it is worth waiting with the analyses until the Gamma distribution is implemented or not, but I have no urgent problems with the current implementation (the models look fine).
I'll try the Gamma distribution later then, as soon as it is available (I have other analyses also with Gamma distributed dependent variables).
Thanks for the reply!
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Hi,
I wondered whether there is any update on the implementation of the gamma distribution in projpred. Wanting to use it for a current project.
Thanks for all the great work!
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Hi,
Thanks for your interest. We are not implementing specific families per se but a feature under development would support many models and should be readily available soon.
Basically, we are bringing support to all models of the form:
y ~ p(g(\eta))
\eta ~ p(\eta | X, Z, ..)
where g
is a link inverse function and the function of \eta
can be a linear or additive multilevel model. Does this clarify which kind of models will be supported?
Edited: confusion on the previous answer.
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Hi,
Thanks for you quick response. Sorry it is not completely clear to me yet, I'm quite the novice at this. I thought the Gamma distribution was part of the exponential family, you seem to imply it is not. Can p()
be any function? Does a regression using a Gamma distributed dependent variable with a log link fall under the form you specify?
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I am sorry I didn't think twice about my answer!!
The answer is valid from a different angle: we are not going to implement family specific solutions but this approach will work as well for families not implemented that belong in the exponential family.
Sorry about the confusion.
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Ah great, that is clear now :) Thanks for the response and will be looking out for that update!
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Related Issues (20)
- Incompatible with brms when random effects are specified with || syntax HOT 2
- Error from multivariate brms models HOT 6
- Memory issues in multilevel models HOT 2
- Predictive performance gap / jumpy behavior at full size in Gaussian multilevel model HOT 1
- For a stan_glm model cv_varsel with loo works, but kfold gives an error HOT 4
- plot.vsel shows extra xtick label HOT 1
- brmsfit cumulative model & Latent projection predictive feature selection HOT 3
- Convergence checks for additive submodels HOT 4
- Allow dispersion parameter to be observation-specific HOT 1
- Smoothing of cross-validated predictive performance HOT 1
- Add R2 as performance statistic HOT 4
- Error when getting reference model with k-fold cross validation for cv_varsel HOT 9
- Truncated response distributions
- Clarify doc for refit_prj HOT 2
- Don't warn about slightly large khats HOT 1
- Remove QR=TRUE from the vignette
- Guide on latent_ll_oscale for other families e.g. zero-inflated negative binomial, hurdle negbinom HOT 5
- Using projpred in multi-response models with group correlated hierarchical effects HOT 3
- negbin latent projection in latent vignette fails with parallel HOT 1
- Request : Monotonic effect HOT 1
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