Description Usage Arguments See Also
Tuning parameters for an object "kaps"
1 2 3 4 5 6 7 | kaps.control(pre.pt = list(), scope = list(),
rho = 0, V = 5, ncl = 1, lower.limit = 0, upper.limit = 100,
shortcut = TRUE, N.perm = 9999, N.boot = 200, alpha = 0.05,
splits = c("logrank", "exact"),
correct = c("Adj.Bf", "Bf", "None"),
p.adjust.methods = c("none", "holm", "hochberg",
"hommel", "bonferroni", "BH", "BY", "fdr"))
|
pre.pt |
list parameter that treats pre-specified split candidates. Use the option as list(var = split points), i.e., x = 1:100 |
scope |
list parameter that treats pre-determined split range. Use the option as list(var = ranges), i.e., x = c(1,100) |
rho |
scalar parameter that controls the type of logrank test. See survdiff. |
V |
numeric parameter that determines the number of folds in the cross-validation subgroup selection. |
ncl |
integer parameter that determines the number of cores to improve computing power |
lower.limit |
numeric parameter that treats pre-determined overall lower bound. Default is 0. |
upper.limit |
numeric parameter that treats pre-determined overall upper bound. Default is 100. |
shortcut |
logical parameter. If shortcut = TRUE, we skip the off-diagonal matrix in pairwise-comparison to reduce computational cost. The default value is TRUE. |
N.perm |
numeric parameter that gives the number of permutation samples used in the kaps algorithm. The default value is 9999. |
N.boot |
numeric parameter that gives the number of Bootstrap samples used in the bootstrap and permuting kaps algorithm. The default value is 200. |
alpha |
numeric parameter that provides a significant level in the process of Bootstrap and permuting algorithm. |
splits |
character parameter that detemines the kind of pairwise test. Default is logrank test. At this stage, the option |
correct |
character parameter to select the criteria for the multiple comparison in the simple permuting kaps algorithm. |
p.adjust.methods |
character parameter to select the criteria for the multiple comparison. |
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