Initialize.lmeStruct package:nlme R Documentation _I_n_i_t_i_a_l_i_z_e _a_n _l_m_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 individual linear mixed-effects model components of the 'lmeStruct' list are initialized. _U_s_a_g_e: ## S3 method for class 'lmeStruct': Initialize(object, data, groups, conLin, control, ...) _A_r_g_u_m_e_n_t_s: object: an object inheriting from class 'lmeStruct', representing a list of linear mixed-effects model components, such as 'reStruct', 'corStruct', and 'varFunc' objects. data: a data frame in which to evaluate the variables defined in 'formula(object)'. groups: a data frame with the grouping factors corresponding to the lme model associated with 'object' as columns, sorted from innermost to outermost grouping level. 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 lme model. Defaults to 'attr(object, "conLin")'. control: an optional list with control parameters for the initialization and optimization algorithms used in 'lme'. Defaults to 'list(niterEM=20, gradHess=TRUE)', implying that 20 EM iterations are to be used in the derivation of initial estimates for the coefficients of the 'reStruct' component of 'object' and, if possible, numerical gradient vectors and Hessian matrices for the log-likelihood function are to be used in the optimization algorithm. ...: some methods for this generic require additional arguments. None are used in this method. _V_a_l_u_e: an 'lmeStruct' object similar to 'object', but with initialized model components. _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: 'lme', 'Initialize.reStruct', 'Initialize.corStruct', 'Initialize.varFunc', 'Initialize'