ISDM                  package:Icens                  R Documentation

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_p_r_o_p_o_s_e_d _i_n _L_e_s_p_e_r_a_n_c_e _a_n_d _K_a_l_b_f_l_e_i_s_c_h (_1_9

_D_e_s_c_r_i_p_t_i_o_n:

     ISDM is a method for estimating the NPMLE of censored data.

_U_s_a_g_e:

     ISDM(A, pvec, maxiter=500, tol=1e-07, tolbis=1e-08, verbose=FALSE)

_A_r_g_u_m_e_n_t_s:

       A: The m by n incidence, or clique, matrix. Or the n by 2 matrix
          containing the event intervals.

    pvec: An initial estimate of the probability vector; not required. 

 maxiter: Maximum number of iterations to be made. 

     tol: The tolerance used to determine convergence. 

  tolbis: A second tolerance used for the steps. 

 verbose: Boolean, should verbose output be printed. 

_D_e_t_a_i_l_s:

     Lots of complicated stuff should go here.

_V_a_l_u_e:

     A list containing: 

     pf : The estimated NPMLE of the probability vector.

numiter : The number of iterations performed.

_A_u_t_h_o_r(_s):

     Alain Vandal and Robert Gentleman

_R_e_f_e_r_e_n_c_e_s:

     An Algorithm for Computing the Nonparametric MLE of a Mixing
     Distribution, Lesperance, Mary L. and Kalbfleisch, John D., JASA,
     1992

_S_e_e _A_l_s_o:

     'VEM', 'EMICM', 'PGM'

_E_x_a_m_p_l_e_s:

         data(cosmesis)
         csub1 <- subset(cosmesis, subset=Trt==0, select=c(L,R))
         ISDM(csub1)
     #    data(pruitt)
     #    ISDM(pruitt)  

