mposterior             package:evdbayes             R Documentation

_M_a_x_i_m_i_z_i_n_g _P_o_s_t_e_r_i_o_r _D_i_s_t_r_i_b_u_t_i_o_n_s

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

     Maximizing prior and posterior distibutions for the location (with
     optional trend), scale and shape parameters under the gev, order
     statistics or point process models.

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

     mposterior(init, prior, lh = c("none", "gev", "pp", "os"),
         method = c("Nelder-Mead", "BFGS", "CG", "L-BFGS-B", "SANN"),
         lower = -Inf, upper = Inf, control = list(), hessian = FALSE, ...)

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

    init: Numeric vector of length three/four, giving the initial
          values for the optimization.

   prior: An object of class '"evprior"', constructed using
          'prior.prob', 'prior.quant' or 'prior.norm'.

      lh: A character string specifying the likelihood; either '"gev"'
          for gev, '"os"' for order statistics, '"pp"' for Poisson
          process or '"none"' for none (the default). The latter can be
          used to maximize the prior distribution.

  method: The method to be used. See 'optim'.

lower, upper: Bounds on the variables for the '"L-BFGS-B"' method. See
          'optim'.

 control: A list of control parameters. See 'optim'.

 hessian: Logical. See 'optim'.

     ...: Arguments to the likelihood. Should include 'data' unless
          'lh' is '"none"'. Should also include 'thresh' and 'noy' if
          'lh' is '"pp"'. Should include the vector 'trend' if a linear
          trend on the location is implemented. See 'pplik' for
          details.

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

     A list. See 'optim'.

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

     'pplik', 'posterior', 'prior.prob'

