EM Algorithm for Interval-Censored Data
EM(A, pvec, maxiter = 500, tol = 1e-12)Either a logical matrix or an interval matrix (n x 2).
Optional initial probability vector.
Maximum number of EM iterations (default 500).
Convergence tolerance (default 1e-12).
An object of class "icsurv" with elements:
Estimated probability mass function
Number of iterations
Logical, whether EM converged
Interval map (if applicable)