chisq                  package:VGAM                  R Documentation

_C_h_i-_s_q_u_a_r_e_d _D_i_s_t_r_i_b_u_t_i_o_n

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

     Maximum likelihood estimation of the degrees of freedom for a
     chi-squared distribution.

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

     chisq(link = "loge", earg=list())

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

    link: Parameter link function. See 'Links' for more choices.

    earg: List. Extra argument for the link. See 'earg' in 'Links' for
          general information.

_D_e_t_a_i_l_s:

     The degrees of freedom is treated as a parameter to be estimated.
     It is treated as real and not integer. Being positive, a log link
     is used by default.

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

     An object of class '"vglmff"' (see 'vglmff-class'). The object is
     used by modelling functions such as 'vglm', and 'vgam'.

_N_o_t_e:

     There may be convergence problems if the degrees of freedom is
     very large.

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

     T. W. Yee

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

     Evans, M., Hastings, N. and Peacock, B. (2000) _Statistical
     Distributions_, New York: Wiley-Interscience, Third edition.

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

     'Chisquare'. 'normal1'.

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

     y = rchisq(n=200, df=exp(2))
     fit = vglm(y ~ 1, chisq)
     coef(fit, matrix=TRUE)
     Coef(fit)

