coxph.control            package:survival            R Documentation

_A_n_c_i_l_l_a_r_y _a_r_g_u_m_e_n_t_s _f_o_r _c_o_n_t_r_o_l_i_n_g _c_o_x_p_h _f_i_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     This is used to set various numeric parameters controling a Cox
     model fit. Typically it would only be used in a call to 'coxph'.

_U_s_a_g_e:

     coxph.control(eps = 1e-08, toler.chol = .Machine$double.eps^0.75, iter.max = 15, toler.inf = sqrt(eps), outer.max = 10)

_A_r_g_u_m_e_n_t_s:

     eps: Iteration continues until the relative change in the log
          partial likelihood is less than eps.  Must be positive.

toler.chol: Tolerance for detection of singularity during a Cholesky
          decomposion of the variance matrix, i.e., for detecting a
          redundant predictor variable.

iter.max: Maximum number of iterations to attempt for convergence.

toler.inf: Tolerance criteria for the warning message about a possible
          infinite coefficient value.

outer.max: For a penalized coxph model, e.g. with pspline terms, there
          is an outer loop of iteration to determine the penalty
          parameters; maximum number of iterations for this outer loop.

_V_a_l_u_e:

     a list containing the values of each of the above constants

_A_u_t_h_o_r(_s):

     Terry Therneau

_S_e_e _A_l_s_o:

     'coxph'