gengraph: A generic and extendable structure for decomposable graphical...
In ess: Efficient Stepwise Selection in Decomposable Models

A generic structure for decomposable graphical models

1	gengraph(df, type = "fwd", q = 0.5, sparse_qic = TRUE)

`df`	Character data.frame
`type`	Character ("fwd", "bwd", "tree" or "tfwd")
`q`	Penalty term in the stopping criterion where `0` = AIC and `1` = BIC. Anything in between is referred to as `qic`
`sparse_qic`	Logical. If `nrow(df)` is small, the tables tends to be sparse. In these cases the usual penalty term of AIC and BIC is often too restrictive. If `sparse_qic` is `TRUE` this penality is computed according to a sparse criteria. The criteria resembles the usual penalty as `nrow(df)` grows.