Derive spending bound for MaxCombo group sequential boundary

Usage

gs_spending_combo(par = NULL, info = NULL, ...)

Arguments

par: a list with the following items: sf (class spending function), total_spend (total spend), param (any parameters needed by the spending function sf()), timing (a vector containing values at which spending function is to be evaluated or NULL if information-based spending is used), max_info (when timing is NULL, this can be input as positive number to be used with info for information fraction at each analysis)
info: statistical information at all analyses, at least up to analysis k
...: additional parameters transfered to par$sf.

Examples


# alpha-spending
par <- list(sf = gsDesign::sfLDOF, total_spend = 0.025)
gs_spending_combo(par, info = 1:3/3)
#> [1] 0.0001035057 0.0060483891 0.0250000000

# beta-spending
par <- list(sf = gsDesign::sfLDOF, total_spend = 0.2)
gs_spending_combo(par, info = 1:3/3)
#> [1] 0.02643829 0.11651432 0.20000000