residuals.nlmeStruct          package:nlme          R Documentation

_C_a_l_c_u_l_a_t_e _n_l_m_e_S_t_r_u_c_t _R_e_s_i_d_u_a_l_s

_D_e_s_c_r_i_p_t_i_o_n:

     The residuals at level i are obtained by subtracting the fitted
     values at that level from the response vector. The fitted values
     at level i are obtained by adding together the contributions from
     the estimated fixed effects and the estimated random effects at
     levels less or equal to i and evaluating the model function at the
     resulting estimated parameters.

_U_s_a_g_e:

     ## S3 method for class 'nlmeStruct':
     residuals(object, level, conLin, ...)

_A_r_g_u_m_e_n_t_s:

  object: an object inheriting from class 'nlmeStruct', representing a
          list of mixed-effects model components, such as 'reStruct',
          'corStruct', and 'varFunc' objects.

   level: an optional integer vector giving the level(s) of grouping to
          be used in extracting the residuals from 'object'. Level
          values increase from outermost to innermost grouping, with
          level zero corresponding to the population fitted values.
          Defaults to the highest or innermost level of grouping.

  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 nlme model. Defaults to 'attr(object, "conLin")'.

     ...: optional arguments to the residuals generic.  Not used.

_V_a_l_u_e:

     if a single level of grouping is specified in 'level', the
     returned value is a vector with the residuals at the desired
     level; else, when multiple grouping levels are specified in
     'level', the returned object is a matrix with  columns given by
     the residuals at different levels.

_N_o_t_e:

     This method function is primarily used within the 'nlme' function.

_A_u_t_h_o_r(_s):

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

_R_e_f_e_r_e_n_c_e_s:

     Bates, D.M. and Pinheiro, J.C. (1998) "Computational methods for
     multilevel models" available in PostScript or PDF formats at
     http://nlme.stat.wisc.edu

_S_e_e _A_l_s_o:

     'nlme', 'fitted.nlmeStruct'