dp_proc: Dynamic Programming procedure Algorithm 1 in the paper

In DRuiCHEN/survSched: What the Package Does (One Line, Title Case)

Description

Dynamic Programming procedure Algorithm 1 in the paper

Usage

dp_proc(tp_est, maxK, output_eta = FALSE)

Arguments

tp_est	List of transition probability estimation.
maxK	Integer.
output_eta	Logical.

Value

List of

• time, loss_const_term

• opt: C matrix in the paper

• opt_idx: argmin_l C[k-1, t[l]] + eta[t[l], t[i]]

• const_term: the constant term in the expected loss

• eta_0, eta (optional): eta function as defined in the paper, which is the partial loss.

DRuiCHEN/survSched documentation built on Aug. 25, 2020, 12:09 a.m.