recalc.reStruct             package:nlme             R Documentation

_R_e_c_a_l_c_u_l_a_t_e _f_o_r _a_n _r_e_S_t_r_u_c_t _O_b_j_e_c_t

_D_e_s_c_r_i_p_t_i_o_n:

     The log-likelihood, or restricted log-likelihood, of the Gaussian
     linear mixed-effects model represented by 'object' and 'conLin'
     (assuming spherical within-group covariance structure), evaluated
     at 'coef(object)' is calculated and added to the 'logLik'
     component of 'conLin'. The 'settings' attribute of 'object'
     determines whether the log-likelihood, or the restricted
     log-likelihood, is to be calculated. The computational methods for
     the (restricted) log-likelihood calculations are described in
     Bates and Pinheiro (1998).

_U_s_a_g_e:

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

_A_r_g_u_m_e_n_t_s:

  object: an object inheriting from class 'reStruct', representing a
          random effects structure and consisting of a list of 'pdMat'
          objects.

  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 condensed linear model with its 'logLik' component updated.

_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:

     'logLik', 'lme',  'recalc', 'reStruct'

