CompetingRiskFrailtySurvfitObjectpackage:CompetingRiskFrailtyR Documentation

_F_i_t_t_e_d _O_b_j_e_c_t

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

     An object of the class 'CompetingRiskFrailtySurvfit' returned as a
     list by the 'CompetingRiskFrailtySurvfitCreate' function and
     representing a fitted competing risks hazard model with frailties
     and varying coefficients.  It has methods for generic functions
     print and plot.

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

       L: number of comepting risks.

  M.list: a list with elements specifying the number of chosen gamma
          distributions of frailties for each competing risk.

fixed.coef.optim: named vector of estimates of fixed parameters, beta,
          of the model.

random.coef.optim: named vector of estimates of random parameters, u,
          of the model.

penalty.varying.optim: named vector of penalty values for the random
          parts of the varying coefficients.

penalty.weights.optim: optimal value of the penalty parameter of the
          frailty mixture density.

grid.frame: a frame of grid values for plotting of the varying
          coefficients.

varying.list: a frame containing the values of varying coefficients.

deviation.list: a list containing the values of deviation for varying
          coefficients.

frailty.list: a list of frailty estimates, each component is a vector
          according to the competing risk.

mixture.weights: a vector of estimated mixture weights for the
          components of the mixture frailty distribution.

aic.optim: an optimal aic value of the model.

df.weights.optim: an optimal value of the degrees of freedom for
          mixture weights.

log.lik.margin.optim: an optimal value of the marginal log likelihood
          of the model.

       p: number of covariates; for factors including their categories
          (excluding reference category).

factor.names: covariates' names; for factors the names of categories
          (excluding reference category).

risk.names: a character vector with the names of competing risks.

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

     Pavel Khomski <pkhomski@wiwi.uni-bielefeld.de>

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

     Kauermann G. and Khomski P. (2006). _Full time or part time
     reemployment: a competing risk model with frailties and smooth
     effects using a penalty based approach_ , to appear.

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

     'CompetingRiskFrailtySurv', 'CompetingRiskFrailtySurvfitCreate'

