scornet {SCORNET} | R Documentation |
SCORNET Estimator
Description
SCORNET Estimator
Usage
scornet(
Delta,
C,
t0.all,
C.UL = NULL,
filter = NULL,
filter.UL = NULL,
Z0 = NULL,
Z0.UL = NULL,
Zehr = NULL,
Zehr.UL = NULL,
K = Knorm,
b = NULL,
bexp = -1/4,
fc = NULL,
nCores = 1
)
Arguments
Delta |
Labeled set current status labels (I(T<C)) |
C |
Labeled set censoring times |
t0.all |
Times at which to estimate survival |
C.UL |
Unlabeled set censoring times |
filter |
Labeled set binary filter indicators |
filter.UL |
Unlabeled set filter indicators |
Z0 |
Labeled set baseline feature matrix |
Z0.UL |
Unlabeled set baseline feature matrix |
Zehr |
Labeled set EHR-derived feature matrix |
Zehr.UL |
Unlabeled set EHR-derived feature matrix |
K |
Kernel function (defaults to standard normal) |
b |
bandwidth (optional) |
bexp |
bandwidth exponent (must be between -1/5 and -1/3, defaults to -1/4) |
fc |
N^1/4-consistent pdf estimator of C|Z0 (defaults to Kernel-Smoothed Cox/Breslow estimator) |
nCores |
Number of cores to use for parallelization (defaults to 1) |
Value
S_hat: Survival function estimates at times t0.all; StdErrs: Asymptotically consistent standard error estimates corresponding to S_hat