survival-internal          package:survival          R Documentation

_I_n_t_e_r_n_a_l _s_u_r_v_i_v_a_l _f_u_n_c_t_i_o_n_s

_D_e_s_c_r_i_p_t_i_o_n:

     Internal survival functions

_U_s_a_g_e:

     survreg.fit(x, y, weights, offset, init, controlvals, dist, scale = 0,
         nstrat = 1, strata, parms = NULL)
     survpenal.fit(x, y, weights, offset, init, controlvals, dist, scale = 0,
         nstrat = 1, strata, pcols, pattr, assign, parms = NULL)
     survdiff.fit(y, x, strat, rho = 0)
     is.category(x)
     match.ratetable(R, ratetable)
     ## S3 method for class 'ratetable':
     as.matrix(x, ...)
     is.na.ratetable2(x)
     is.na.coxph.penalty(x)
     model.newframe(object, newdata, safe = FALSE, response = FALSE, ...)
     ## S3 method for class 'difftime':
     as.data.frame(x, row.names = NULL, optional = FALSE,...)
     coxpenal.df(hmat, hinv, fdiag, assign.list, ptype, nvar, pen1,
         pen2, sparse)
     coxpenal.fit(x, y, strata, offset, init, control, weights, method,
         rownames, pcols, pattr, assign)
     coxph.fit(x, y, strata, offset, init, control, weights, method,
         rownames)
     coxph.wtest(var, b, toler.chol = 1e-09)
     agreg.fit(x, y, strata, offset, init, control, weights, method,
         rownames)
     agexact.fit(x, y, strata, offset, init, control, weights, method,
         rownames) 

_D_e_t_a_i_l_s:

     These are not to be called by the user

