mixtools initializations      package:mixtools      R Documentation

_I_n_i_t_i_a_l_i_z_a_t_i_o_n_s _f_o_r _V_a_r_i_o_u_s _E_M _A_l_g_o_r_i_t_h_m_s _i_n '_m_i_x_t_o_o_l_s'

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

     Internal intialization functions for EM algorithms in the package
     'mixtools'.

_U_s_a_g_e:

     flaremix.init(y, x, lambda = NULL, beta = NULL, sigma = NULL,
                   alpha = NULL)
     logisregmix.init(y, x, N, lambda = NULL, beta = NULL, k = 2)
     multmix.init(y, lambda = NULL, theta = NULL, k = 2)
     mvnormalmix.init(x, lambda = NULL, mu = NULL, sigma = NULL, 
                      k = 2, arbmean = TRUE, arbvar = TRUE)
     normalmix.init(x, lambda = NULL, mu = NULL, s = NULL, k = 2, 
                    arbmean = TRUE, arbvar = TRUE)
     poisregmix.init(y, x, lambda = NULL, beta = NULL, k = 2)
     regmix.chgpt.init(y, x, lambda = NULL, beta = NULL,
                       gamma = NULL, sigma = NULL, t = NULL, k = 2)
     regmix.init(y, x, lambda = NULL, beta = NULL, s = NULL, k = 2, 
                 addintercept = TRUE, arbmean = TRUE, arbvar=TRUE)
     regmix.lambda.init(y, x, lambda = NULL, beta = NULL, s = NULL,
                        k = 2, addintercept = TRUE, arbmean = TRUE,
                        arbvar = TRUE)
     regmix.mixed.init(y, x, w = NULL, sigma = NULL, 
                       arb.sigma = TRUE, alpha = NULL, lambda = NULL, 
                       mu = NULL, R = NULL, arb.R = TRUE, k = 2, 
                       mixed = FALSE, addintercept.fixed = FALSE,
                       addintercept.random = TRUE)
     repnormmix.init(x, lambda = NULL, mu = NULL, s = NULL, k = 2, 
                     arbmean = TRUE, arbvar = TRUE)

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

     These are usually not to be called by the user. Definitions of the
     arguments appear in the respective EM algorithms.

