HyperbolicDistribution    package:HyperbolicDist    R Documentation

_T_h_e _L_i_b_r_a_r_y '_H_y_p_e_r_b_o_l_i_c_D_i_s_t': _S_u_m_m_a_r_y _I_n_f_o_r_m_a_t_i_o_n

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

     This library provides a collection of functions for working with
     the hyperbolic distribution. Included are the  density function,
     distribution function, quantiles,  random number generation and
     fitting the hyperbolic distribution to data ('fit.hyperb'). The
     function 'hyperb.change.pars' will interchange parameter values
     between different parameterisations. The mean, variance and mode
     of a given hyperbolic distribution are given by 'hyperb.mean',
     'hyperb.var', and 'hyperb.mode' respectively. For assessing the
     fit of the hyperbolic distribution to a set of data, the
     log-histogram is useful. See 'log.hist'.

_A_c_k_n_o_w_l_e_d_g_e_m_e_n_t_s:

     A number of students have worked on the package: Ai-Wei Lee,
     Jennifer Tso, and Richard Trendall.

     Thanks to Ross Ihaka and Paul Murrell for their willingness to
     answer my questions, and to all the core group for the development
     of R.

_L_I_C_E_N_C_E:

     This library and its documentation are usable under the terms of
     the  "GNU General Public License", a copy of which is distributed
     with the  package.

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

     David Scott d.scott@auckland.ac.nz

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

     Barndorff-Nielsen, O. (1977) Exponentially decreasing
     distributions for the logarithm of particle size, _Proc. Roy. Soc.
     Lond._, A*353*, 401-419.

     Barndorff-Nielsen, O. and Blaesild, P (1983). Hyperbolic
     distributions.  In _Encyclopedia of Statistical Sciences_,  eds.,
     Johnson, N. L., Kotz, S. and Read, C. B., Vol. 3, pp. 700-707. New
     York: Wiley.

     Fieller, N. J., Flenley, E. C. and Olbricht, W. (1992) Statistics
     of particle size data. _Appl. Statist._, *41*, 127-146.

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

     'dhyperb', 'fit.hyperb',  'log.hist', 'hyperb.change.pars', and
     'hyperb.mean'.

