lmom2par               package:lmomco               R Documentation

_C_o_n_v_e_r_t _L-_m_o_m_e_n_t_s _t_o _t_h_e _t_h_e _P_a_r_a_m_e_t_e_r_s _o_f _a _D_i_s_t_r_i_b_u_t_i_o_n

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

     This function converts the L-moments of the data to the parameters
     of a distribution. The type of distribution is specified in the 
     argument list: 'exp', 'gam', 'gev', 'gld', 'glo', 'gno', 'gpa',
     'gum', 'kap', 'nor', 'pe3', 'wak', or 'wei'. There is no Cauchy
     distribution support by the 'lmom2par' function because Cauchy
     uses TL-moments and not the ordinary L-moments. For Cauchy
     functions such as 'parcau' and 'lmomcau' should be used in
     accordance with their documentation.

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

     lmom2par(lmom, type, ...)

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

    lmom: An L-moment object such as that returned by 'lmom.ub' or
          'pwm2lmom'.

    type: Three character distribution type (for example,
          'type='gev'').

     ...: Additional arguments for the 'parCCC' functions.

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

     An R 'list' is returned.

    type: The type of distribution in three character format.

    para: The parameters of the distribution.

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

     W.H. Asquith

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

     Hosking, J.R.M., 1990, L-moments-Analysis and estimation of
     distributions using linear combinations of order statistics:
     Journal of the Royal Statistical Society, Series B, vol. 52, p.
     105-124.

     Hosking, J.R.M., 1996, FORTRAN routines for use with the method of
     L-moments: Version 3, IBM Research Report RC20525, T.J. Watson
     Research Center, Yorktown Heights, New York.

     Hosking, J.R.M. and Wallis, J.R., 1997, Regional frequency
     analysis-An approach based on L-moments: Cambridge University
     Press.

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

     'lmom2par'

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

     lmr      <- lmom.ub(rnorm(20))
     para     <- lmom2par(lmr,type='nor')
     frompara <- par2lmom(para)
     lmom.diff(frompara,lmr)

