logLik.glsStruct            package:nlme            R Documentation

_L_o_g-_L_i_k_e_l_i_h_o_o_d _o_f _a _g_l_s_S_t_r_u_c_t _O_b_j_e_c_t

_D_e_s_c_r_i_p_t_i_o_n:

     'Pars' is used to update the coefficients of the model components
     of 'object' and the individual (restricted) log-likelihood
     contributions of each component are added together. The type of
     log-likelihood (restricted or not) is determined by the 'settings'
     attribute of 'object'.

_U_s_a_g_e:

     ## S3 method for class 'glsStruct':
     logLik(object, Pars, conLin, ...)

_A_r_g_u_m_e_n_t_s:

  object: an object inheriting from class 'glsStruct', representing a
          list of linear model components, such as 'corStruct' and
          'varFunc' objects.

    Pars: the parameter values at which the (restricted) log-likelihood
          is to be evaluated.

  conLin: an optional condensed linear model object, consisting of a
          list with components '"Xy"', corresponding to a regression
          matrix ('X') combined with a response vector ('y'), and 
          '"logLik"', corresponding to the log-likelihood of the
          underlying linear model. Defaults to 'attr(object,
          "conLin")'.

     ...: some methods for this generic require additional arguments. 
          None are used in this method.

_V_a_l_u_e:

     the (restricted) log-likelihood for the linear model described by
     'object', evaluated at 'Pars'.

_A_u_t_h_o_r(_s):

     Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates
     bates@stat.wisc.edu

_S_e_e _A_l_s_o:

     'gls', 'glsStruct', 'logLik.lme'