A C++ library for Bayesian modeling, mainly through Markov chain Monte Carlo, but with a few other methods supported. BOOM = "Bayesian Object Oriented Modeling". It is also the sound your computer makes when it crashes.
GNU Lesser General Public License v2.1
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Support offsets for all models in `BoomSpikeSlab` ? #62
I really like using the BoomSpikeSlab package in R due to its speed.
I wonder though whether there are any plans to support offsets (or alternatively weights) in other model families? So far only poisson.spike allows the specification of an offset to the regression for poisson processes.
Offsets in the regression formula for logit.spike are ignored.
So these two models are close to identical even though in one the bmi is set as an offset.
I really like using the
BoomSpikeSlab
package in R due to its speed. I wonder though whether there are any plans to support offsets (or alternatively weights) in other model families? So far onlypoisson.spike
allows the specification of an offset to the regression for poisson processes. Offsets in the regression formula forlogit.spike
are ignored.So these two models are close to identical even though in one the
bmi
is set as an offset.Or am I missing an option to specify this correctly somewhere?