mixRasch-package          package:mixRasch          R Documentation

_C_o_n_t_a_i_n_s _a _f_u_n_c_t_i_o_n _f_o_r _e_s_t_i_m_a_t_i_n_g _a_n_d _e_v_a_l_u_a_t_i_n_g _m_i_x_t_u_r_e _R_a_s_c_h _m_o_d_e_l_s _u_s_i_n_g _J_M_L_E

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

     The included function will estimate a mixture Rasch model using
     joint maximum likelihood estimation (JMLE). The estimation is
     based on a mixture partial credit model. Step parameters can be
     constrained to estimate a mixture rating scale model. Estimating a
     model with only one latent class accomplishes a standard Rasch
     analysis with JMLE.

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


       Package:  mixRasch
       Type:     Package
       Version:  0.1
       Date:     2009-03-13
       License:  GPL version 2 or newer

     This is an early version of the package. It currently contains
     only the mixRasch function. Please contact the author if you
     encounter any bugs or if you have questions or suggestions.

_A_u_t_h_o_r(_s):

     John T. Willse <jtwillse@uncg.edu>

_R_e_f_e_r_e_n_c_e_s:

     Willse, J. T. (2009). Mixture Rasch models with joint maximum
     likelihood estimation. Presented at the National Council on
     Measurement in Education annual meeting. San Diego.

