Comments (1)
The priors bayesglm in arm are hard coded and thus cannot be altered into other distribution families. And there is no prior setting for the variance. If this is really what you wanted, you can try stan_glm in rstanarm.
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Related Issues (19)
- Test
- Horseshoe prior? HOT 1
- Estimation Result depending on order of covariates? HOT 1
- `sim` method for `coxph` objects
- 'sim' method for 'plm' objects
- arm not available for version? HOT 1
- arm::sim speed HOT 1
- small typo in standardize example HOT 1
- package "arm" cannot be downloaded, therefore sjPlot cannot be used HOT 1
- Issue with ranef function HOT 2
- How to compare nested models created by the bayesglm function? HOT 1
- Missing importFrom(): Error in setClass("balance", ... : could not find function "setClass" HOT 1
- How to get R squared in bayesglm? HOT 3
- standardize.R: Error in thedata[!is.na(thedata)] : object of type 'closure' is not subsettable HOT 1
- License: (GPL >2) - What is the actual(s) GPL license version here?
- arm::rescale(a_binary_factor, binary.inputs = "-0.5,0.5") returns 0.5/1.5 instead of -0.5/0.5
- family=quasipoisson issue
- rescale returning different results each time. HOT 2
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