vim_cindex | R Documentation |
Estimate concordance index VIM
vim_cindex(
time,
event,
approx_times,
restriction_time,
f_hat,
fs_hat,
S_hat,
G_hat,
cf_folds,
sample_split,
ss_folds,
scale_est = FALSE,
alpha = 0.05
)
time |
|
event |
|
approx_times |
Numeric vector of length J1 giving times at which to approximate integrals. |
restriction_time |
Restriction time (upper bound for event times to be compared in computing the C-index) |
f_hat |
Full oracle predictions (n x J1 matrix) |
fs_hat |
Residual oracle predictions (n x J1 matrix) |
S_hat |
Estimates of conditional event time survival function (n x J2 matrix) |
G_hat |
Estimate of conditional censoring time survival function (n x J2 matrix) |
cf_folds |
Numeric vector of length n giving cross-fitting folds |
sample_split |
Logical indicating whether or not to sample split |
ss_folds |
Numeric vector of length n giving sample-splitting folds |
scale_est |
Logical, whether or not to force the VIM estimate to be nonnegative |
alpha |
The level at which to compute confidence intervals and hypothesis tests. Defaults to 0.05 |
A data frame giving results, with the following columns:
restriction_time |
Restriction time (upper bound for event times to be compared in computing the C-index). |
est |
VIM point estimate. |
var_est |
Estimated variance of the VIM estimate. |
cil |
Lower bound of the VIM confidence interval. |
ciu |
Upper bound of the VIM confidence interval. |
cil_1sided |
Lower bound of a one-sided confidence interval. |
p |
p-value corresponding to a hypothesis test of null importance. |
large_predictiveness |
Estimated predictiveness of the large oracle prediction function. |
small_predictiveness |
Estimated predictiveness of the small oracle prediction function. |
vim |
VIM type. |
large_feature_vector |
Group of features available for the large oracle prediction function. |
small_feature_vector |
Group of features available for the small oracle prediction function. |
vim for example usage
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