fitted.nlmeStruct package:nlme R Documentation _C_a_l_c_u_l_a_t_e _n_l_m_e_S_t_r_u_c_t _F_i_t_t_e_d _V_a_l_u_e_s _D_e_s_c_r_i_p_t_i_o_n: 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. The resulting values estimate the predictions at level i. _U_s_a_g_e: ## S3 method for class 'nlmeStruct': fitted(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, plus attributes specifying the underlying nonlinear model and the response variable. level: an optional integer vector giving the level(s) of grouping to be used in extracting the fitted values 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")'. ...: additional arguments that could be given to this method. None are used. _V_a_l_u_e: if a single level of grouping is specified in 'level', the returned value is a vector with the fitted values at the desired level; else, when multiple grouping levels are specified in 'level', the returned object is a matrix with columns given by the fitted values at different levels. _N_o_t_e: This method function is generally only used inside 'nlme' and 'fitted.nlme'. _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/pub/NLME/ _S_e_e _A_l_s_o: 'nlme', 'residuals.nlmeStruct'