R/impute-ic.R
impute_ic_cr.RdDraws the event time from the all-cause conditional hazard within
\((L, R]\) (as in impute_ic_times) and assigns a cause. If the
cause is observed it is retained (the time is then drawn by a rejection step
so that it follows the cause-specific conditional density); if the cause is
unknown it is sampled with probability \(h_k(T)/h_\bullet(T)\) at the imputed
time, mirroring the cause-assignment in sim_pexp and the CIF
increment in get_cif.
impute_ic_cr(object, ic, cut, beta = NULL, cache = NULL, cause_known = NULL)A fitted pamm model used as imputation model.
A data frame as returned by parse_ic_surv (subject-
level, with covariates and ic_L/ic_R/ic_kind).
The fixed vector of interval cut-points (shared across imputations).
Coefficient vector to evaluate the hazard at. Defaults to
coef(object); pass a posterior draw for proper multiple imputation.
Optional pre-built cache from ic_pred_cache; avoids
recomputing the (expensive) design matrix across imputations.
Optional vector (length nrow(ic)) of observed causes
(as levels of cache$cause_levels); NA marks unknown cause.
Censored and exact rows are ignored.
A list with numeric time and character cause (both
length nrow(ic); cause is NA for censored rows).