SN                    package:sn                    R Documentation

_T_h_e _l_i_b_r_a_r_y `_s_n': _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 functions related to the skew-normal
     probability distribution, both for the univariate and the the
     multivariate case.

_F_u_n_c_t_i_o_n_s:

     The functions of the scalar case section are: `dsn', `psn', `qsn',
     `rsn', `T.Owen', `cp.to.dp',  `dp.to.cp', `zeta',
     `gamma1.to.lambda', `sn.cumulants', `sn.em', `sn.2logL.profile',
     `sn.mle', `sn.dev', `sn.dev.gh'.

     The functions of the multivariate section are: `dmsn', `rmsn',
     `plot.dsn2', `msn.quantities',  `msn.conditional', `msn.marginal',
     `plot.msn.cond', `msn.fit', `msn.mle',  `msn.dev', `msn.dev.grad',
     `msn.moment.fit', `num.deriv'.

     Some of these functions are there to be used mostly by other
     functions of the library.  Those more relevant for practical use
     by a user are: `dsn', `psn', `qsn', `rsn', `cp.to.dp', `dp.to.cp',
     `sn.mle',`sn.em' in the univariate section, and `dmsn', `rmsn',
     `msn.fit', `msn.mle', `plot.dsn2' in the multivariate section. It
     is suggested that a user starts by reading the documentation of
     (some of) these.

_R_e_q_u_i_r_e_m_e_n_t_s:

     R 1.0.1

_V_e_r_s_i_o_n:

     You are using version 0.22.1 (2001-05-17). The most recent version
     of the library can be obtained from the WWW page: <URL:
     http://azzalini.stat.unipd.it/SN> which also contains other
     related material

_M_a_n_u_a_l:

     There is no manual  besides on-line documentation and its derived
     versions.  The papers listed below provide background information.

_A_u_t_h_o_r:

     Adelchi Azzalini, Dipart. Scienze Statistiche, Universit di
     Padova, Italia. Please send comments, error reports, etc. to
     azzalini@stat.unipd.it

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

     Many thanks go to Antonella Capitanio for testing the procedures,
     and to Brian Ripley and Martin Maechler for useful advice on R. 
     The function `num.deriv' is based on a similar function written 
     by Monica Chiogna.  This software and part of the associated
     theoretical work has been developed  while the author was at the
     Nuffield College, Oxford, under the Jemolo  Fellowship scheme; the
     generous support of the  college is gratefully  acknowledged. 
     Additional support for the development of the theoretical research
     work has  been  provided by the "Consiglio Nazionale delle
     Ricerche" of Italy, grant  no.97.01331.CT10.

_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.

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

     Azzalini, A. (1985). A class of distributions which includes the
     normal ones. Scand. J. Statist. 12, 171-178.

     Azzalini, A. (1986). Further results on a class of distributions
     which includes  the normal ones. Statistica 46,199-208.

     Azzalini, A. and Dalla Valle, A. (1996). The multivariate
     skew-normal distribution. Biometrika 83, 715-726.

     Azzalini, A. and Capitanio, A. (1999). Statistical applications of
     the multivariate skew-normal distribution. J.Roy.Statist.Soc. B
     61, 579-602.

