Description Usage Arguments Value
Ordering poset element by recursive amalgamation. Stratifying the staging variables with respect to the survival outcomes. For computing efficiency, before inputting to functions, data should be sorted by follow-up time.
1 | opera.solve(time, cen, Z, PO, cov, maxiter = 10, eps = 1e-04, GIC = 2)
|
time |
a vector of follow-up time |
cen |
a vector of censoring status |
Z |
a matrix of staging variables |
PO |
a vector of paritial order relationship staging variables |
cov |
a matrix of covariates |
maxiter |
maximum number of iterations in each approximation step |
eps |
accuracy level |
GIC |
the parameter of GIC law, the default value is 2, which is AIC law |
staging result of staging variables
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