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BAS R package https://merliseclyde.github.io/BAS/

Results 17 BAS issues
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We are interested in implementing the bas.glm() function cannot be applied in a quasi-Poisson or negative binomial regression model framework. It would be very useful to deal with over-dispersed count...

enhancement
work in progress

**Describe the bug** priors in `bas.glm` are objects, while in `bas.lm` character strings are used to refer to the prior, so the check to see if the prior is one...

bug

Hi Merlise, Do you think it's sensible to have a flat priors on the always include variables as we discussed in Edinburgh? I think that this makes sense and I...

enhancement
help wanted

Separation is a current problem with `bas.glm` in logistic regressions as which uses nested integrated Laplace approximations which depend on MLEs. With quasi or perfect separation, MLEs are not identifiable,...

enhancement
help wanted

Standard errors for the regressions function and fitted values do not account for weights in calculating the standard errors bas lm objects and bas glm objects. Need to incorporate the...

bug

BAS makes using well-established prior types a breeze. Thanks for that! I would very much like to see BAS.lm and BAS.glm extended to mixed models, i.e. models with random effects....

enhancement

Hi Merlise, Is there any way to remove intercept in using "bas.lm"? Thanks, Emma

enhancement

Hi Merlise, Sometimes Bas.lm prints messages such as "There are 3 degenerate sampling probabilities (0 or 1); decreasing the number of models to 16" or returns a warning “Warning message:...

enhancement

** feature request** Add a function to return a BAS object for a single model (HPM, MPM, BPM or others) given a formula or a vector for the model that...

enhancement

A clear and concise description of what you would like to see added to BAS. I think the bestmodel argument is not clearly explained if one wants to modify it,...

enhancement