cgetC                 package:bayesm                 R Documentation

_O_b_t_a_i_n _A _L_i_s_t _o_f _C_u_t-_o_f_f_s _f_o_r _S_c_a_l_e _U_s_a_g_e _P_r_o_b_l_e_m_s

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

     'cgetC' obtains a list of censoring points, or cut-offs, used in
     the ordinal multivariate probit model of Rossi et al (2001).  This
     approach uses a quadratic parameterization of the cut-offs. The
     model is useful for modeling correlated ordinal data on a scale
     from 1, ..., k with different scale usage patterns.

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

     cgetC(e, k)

_A_r_g_u_m_e_n_t_s:

       e: quadratic parameter (>0 and less than 1) 

       k: items are on a scale from 1, ..., k 

_V_a_l_u_e:

     A vector of k+1 cut-offs.

_W_a_r_n_i_n_g:

     This is a utility function which implements *no* error-checking.

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

     Rob McCulloch and Peter Rossi, Graduate School of Business,
     University of Chicago. Peter.Rossi@ChicagoGsb.edu.

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

     Rossi et al (2001), "Overcoming Scale Usage Heterogeneity,"
     _JASA_96, 20-31.

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

     'rscaleUsage'

_E_x_a_m_p_l_e_s:

     ##
     cgetC(.1,10)

