recalc.varFunc             package:nlme             R Documentation

_R_e_c_a_l_c_u_l_a_t_e _f_o_r _v_a_r_F_u_n_c _O_b_j_e_c_t

_D_e_s_c_r_i_p_t_i_o_n:

     This method function pre-multiples the '"Xy"' component of
     'conLin' by a diagonal matrix with diagonal elements given by the
     weights corresponding to the variance structure represented by
     'object'e and adds the log-likelihood contribution of 'object',
     given by 'logLik(object)', to the '"logLik"' component of
     'conLin'.

_U_s_a_g_e:

     ## S3 method for class 'varFunc':
     recalc(object, conLin, ...)

_A_r_g_u_m_e_n_t_s:

  object: an object inheriting from class 'varFunc', representing a
          variance function structure.

  conLin: a 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 model.

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

_V_a_l_u_e:

     the recalculated condensed linear model object.

_N_o_t_e:

     This method function is only used inside model fitting functions,
     such as 'lme' and 'gls', that allow heteroscedastic error terms.

_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:

     'recalc', 'varWeights', 'logLik.varFunc'