Summarise predictable bounds e-process

Summarise predictable bounds e-process

Usage

predictable_rejections(ep, alpha = 0.05)

Arguments

ep

data.frame. Output of eprocess_predictable().

alpha

Numeric. Significance level.

Value

Named list matching the eprocess_rejections() format (threshold, tau_pq, tau_qp, reject_pq, reject_qp), plus:

• c_range — range of c_seq used.

• lambda — lambda value used.

Examples

scores1 <- c(0.10, 0.20, 0.15, 0.25)
scores2 <- c(0.05, 0.10, 0.10, 0.20)
c_seq <- rep(1, length(scores1))
ep <- eprocess_predictable(scores1, scores2, c_seq = c_seq)
predictable_rejections(ep, alpha = 0.05)
#> $threshold
#> [1] 40
#> 
#> $tau_pq
#> [1] NA
#> 
#> $tau_qp
#> [1] NA
#> 
#> $reject_pq
#> [1] FALSE
#> 
#> $reject_qp
#> [1] FALSE
#> 
#> $c_range
#> [1] 1 1
#> 
#> $lambda
#> [1] 0.5
#>