Description
A S4 class for K-adaptive partitioning for survival data (kaps).
Objects from the Class
Objects can be created by calls of the form new("kaps"). The most important slot is groupID, which is a vector consisting of the information about classified subgroups.Slots
call:- evaluated function call
formula:- formula used in the model fitting
data:- data used in the model fitting
groupID:- information about the classified subgroup
index:- index for the optimal subgroup among the candidate K
X:- test statistic with the worst pair of subgroups for the split set
Z:- overall test statistic with K subgroups using the split set
pair:- selected pair of subgroups
split.var:- selected covariate in the model fitting
split.pt:- selected set of cut-off points
mindat:- minimum number of observations at a subgroup
test.stat:- Bonferroni corrected p-value matrix. The first row means overall p-values and the second one denotes p-values of the worst-pair against K. The column in the matrix describes the order of K.
over.stat.sample:- adjusted overall test statistic by Bootstrapping
pair.stat.sample:- adjusted worst-pair test statistic by Bootstrapping
groups:- candidate K used in the argument
results:- a list of results about each K
Options:- tuning parameters
Methods
- show
signature(object = "kaps"): Same as the show method without the optional arguments - print
signature(x = "kaps", K): Same as the print method with the specified number of subgroups K.- plot
signature(x = "kaps", K): Plot an object- predict
signature(object = "kaps"): Predict an object by the estimated cut-off points- summary
signature(object = "kaps"): Summarize an object by survival times for each subgroup