R package mombf: Moment and Inverse Moment Bayes Factors. Model selection and parameter estimation based on non-local priors. Routines are provided to compute Bayes factors, marginal densities and to perform variable selection in regression setups. Routines to evaluate prior densities, distribution functions, quantiles and modes are included.
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References in zbMATH (referenced in 3 articles , 1 standard article )
Showing results 1 to 3 of 3.
- Rossell, David; Rubio, Francisco J.: Tractable Bayesian variable selection: beyond normality (2018)
- Johnson, Valen E.; Rossell, David: Bayesian model selection in high-dimensional settings (2012)
- Johnson, Valen E.; Rossell, David: On the use of non-local prior densities in Bayesian hypothesis tests (2010)