mmlcrObject              package:mmlcr              R Documentation

_M_i_x_e_d _M_o_d_e _L_a_t_e_n_t _C_l_a_s_s _R_e_g_r_e_s_s_i_o_n _O_b_j_e_c_t

_D_e_s_c_r_i_p_t_i_o_n:

     Classes of objects returned by fitting mixed mode latent class
     regression objects.  This class of objects is returned by the
     'mmlcr' function to represent a fitted  mixed mode latent class
     regression model.  Objects of this class have methods for the
     functions 'print', 'plot', 'summary', 'anova', 'vcov', 'fitted',
     and 'residuals', among others.

_D_e_t_a_i_l_s:

     The following components must be included in a legitimate 'mmlcr'
     object. 

_c_o_m_p_o_n_e_n_t_s a list of the response components. Each element of the list
     is itself a  list, which includes the data for that response, the
     fit coefficients,  the fitted response and the response residuals,
     among others.

_o_u_t_e_r a formula for latent class membership.

_o_u_t_e_r._d_f a data.frame with the variables used in outer.

_g_a_m_m_a._m_a_t_r_i_x the coefficients from the multinomial fit for latent
     classes. The values  are log(odds ratios) compared to the first
     class.

_p_r_i_o_r._p_r_o_b a data.frame giving the prior probabilities (that is, based
     on the fit from outer) of class membership for each subject.

_p_o_s_t._p_r_o_b a data.frame giving the posterior probabilities (that is,
     based on the  prior probabilities as well as the data from the
     components) of class  membership for each subject.

_l_o_g_l_i_k_e_l_i_h_o_o_d the loglikelihood of the final fit.

_B_I_C the BIC of the final fit.

_d_f the degrees of freedom of the model

_r_e_s_i_d._d_f the residual degrees of freedom of the model

_c_a_l_l the call to the 'mmlcr' function 

_S_e_e _A_l_s_o:

     'mmlcr'

