C++ Function for Solving the PLAC Estimator. (with time-dependent convariates depending on A^*)
PLAC_TDR(ZF, ZFV_, Z, X, W, Ind1, Ind2, Dn, b, h, K = 100L)list of model fitting results for both conditional approach and the PLAC estimator.
matrix for all the time-invariant covariates.
matrix for all covariates at the each individual's observed survival time.
matrix for all the covariates history.
the response matrix (As, Xs, Ds).
the ordered observed event times.
risk-set indicators.
truncation pair indicators.
number of ties at each observed event time.
initial values of the regression coefficients.
initial values of the baseline hazard function.
maximal iteration number, the default is K = 100.