estimParam               package:rhosp               R Documentation

_c_o_m_p_u_t_e _t_h_e _p_a_r_a_m_e_t_r_i_c _e_s_t_i_m_a_t_i_o_n

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

     estimParam compute the parametric estimation of the first model on
     the input file containing the stay duration Xi and the side effect
     reporting Zi. this estimator of mu is the estimator of maximum
     likelihood of the random variable Zi / Xi=x. the risk constant R
     is given by the equation (*) R=mu

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

     estimParam(fileName, toplot = TRUE, header = TRUE, ks = FALSE, DV = FALSE)

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

fileName: the file in which the simulated data will be stored 

  toplot: a logical variable to plot the result of this estimation 

  header: a logical for : has the input file an header 

      ks: a logical for : do you want the Kolmogorv Smirnov test 

      DV: a logical for : do you want to calculate the De Vielder
          estimation 

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

     a list of the following components 

     CR : the CR risk constant calculated with the value of R

      R : the risk constant estimated by this estimation

       T: the vector of observations of the random variable T

lambdaHat: the best estimation of lambda : the ESBVM of lambda

   muHat: the best estimation of mu : the value of mu which maximize
          the loglikelihood

lambdaEmp: the estimation of the lambda of the De Vielder method (only
          available if DV=TRUE and if there is no problem with De
          Vielder method)

   muEmp: the estimation of the mu of the De Vielder method (only
          available if DV=TRUE)

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

     CJ

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

     #res<-estimDV("data.rda",TRUE,TRUE)

