stepwise.combine: Stepise combine: combines the stepwise forward and the...
In multdyn: Multiregression Dynamic Models

Stepise combine: combines the stepwise forward and the stepwise backward model.

1	stepwise.combine(forward_matrix, backward_matrix)

`forward_matrix`	The winning sets of parents using a Forward Selection model search. A matrix with dimension `Nn+2` x `Nn`, rows `1:Nn` are the parents (ones and zeros), rows `(Nn+1):(Nn+2)` are the LPL and discount factor. forward matrix.
`backward_matrix`	backward_matrix

The winning sets of parents using a Backward Elimination model search. A matrix with dimension Nn+2 x Nn, rows 1:Nn are the parents (ones and zeros), rows (Nn+1):(Nn+2) are the LPL and discount factor.

stepwise_combine_matrix The adjacency network, LPLs and discount factors when the Forward Selection and Backward Elimination model searches are combined.

multdyn documentation built on May 2, 2019, 3:43 p.m.