Create an unconstrained graph constraint

Create a graph constraint that allows for all hypotheses transitions to be optimised.

Usage

graph_constraint_free(num_hyp, names = "auto")

Arguments

num_hyp

An integer denoting the number of hypotheses. Must be greater than or equal to 2.

names

An optional character vector containing hypotheses' names. If not provided it defaults to "auto" meaning the hypotheses will be automatically named "H1", "H2", etc.

Value

An unconstrained multigrain_graph_constraint object. In hyp_constraint all values are NA and similarly in the trans_constraint, except for the diagonal which is set to 0. If we have only 2 hypotheses, then the matrix will have 0 on the diagonal and the other 2 elements are set to 1.

Examples

# Create a graph constraint object with 3 hypotheses and no constraints
graph_constraint_free(3)
#> <multigrain_graph_constraint>
#> Constraints on hypothesis weights:
#> H1 H2 H3 
#> NA NA NA 
#> 
#> Constraints on transition matrix:
#>    H1 H2 H3
#> H1  0 NA NA
#> H2 NA  0 NA
#> H3 NA NA  0

# Create a graph constraint object with 2 hypotheses results in set values in
# the transition matrix
graph_constraint_free(2)
#> <multigrain_graph_constraint>
#> Constraints on hypothesis weights:
#> H1 H2 
#> NA NA 
#> 
#> Constraints on transition matrix:
#>    H1 H2
#> H1  0  1
#> H2  1  0