Make a new (generic) trial design

Usage

adagraph_design(
  correlation = matrix(),
  weights = double(),
  alpha = double(),
  test_m = matrix()
)

Arguments

correlation: Correlation matrix describing the structure of the correlations between the different hypotheses, use NA for uncorrelated
weights: List of weights, measuring how important each hypothesis is
alpha: Single number, measuring what total alpha should be spent on the FWER
test_m: Transition matrix describing the graph for the closed test procedure to test the hypotheses

Value

An object of class adagraph_design

Examples

design <- adagraph_design(
 correlation=rbind(H1=c(1, NA),
                   H2=c(NA, 1)),
 weights=c(2/3, 1/3),
 alpha=0.05,
 test_m=rbind(c(0, 1),
              c(1, 0)))
design
#> A Adagraph Design object, for testing 2 hypotheses at FWER 0.05.
#> 
#> ── Inital design specification ─────────────────────────────────────────────────
#> 
#> Hypotheses weights
#> [1] 0.6666667 0.3333333
#> 
#> Graph Transition Matrix
#>      [,1] [,2]
#> [1,]    0    1
#> [2,]    1    0
#> 
#> Correlation for parametric test
#>    [,1] [,2]
#> H1    1   NA
#> H2   NA    1
#>