varbvs

cranv2.6-10

Large-Scale Bayesian Variable Selection Using Variational Methods. Fast algorithms for fitting Bayesian variable selection models and computing Bayes factors, in which the outcome (or response variable) is modeled using a linear regression or a logistic regression. The algorithms are based on the variational approximations described in "Scalable variational inferen

License GPL (>= 3)0 versions1 maintainers8 deps99 weekly dl
pcarbo/varbvs
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0/25
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25/25
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6/15
maturity
3/15
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Dependencies (8)
methodsMatrixstatsgraphicslatticelatticeExtraRcppnor1mix
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First published · 2023-05-31 19:09:23

Last updated · 2023-05-31T17:30:02+00:00

varbvs — Health Score 34/100 | DepScope