discrimination            package:depmix            R Documentation

_D_i_s_c_r_i_m_i_n_a_t_i_o_n _L_e_a_r_n_i_n_g _D_a_t_a

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

     This data set is from a simple discrimation learning experiment. 
     It consists of 192 binary series of responses of different
     lengths. This is a subset of the data described by Raijmakers et
     al. (2001), and it is analyzed much more extensively using latent
     Markov models and depmix in Schmittmann et al. (2006) and Visser
     et al. (2006)..

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

     data(discrimination)

_F_o_r_m_a_t:

     An object of class 'markovdata'.

_S_o_u_r_c_e:

     Maartje E. J. Raijmakers, Conor V. Doland and Peter C. M. Molenaar
      (2001).  Finite mixture distribution models of simple
     discrimination learning. _Memory & Cognition_, vol 29(5).

     Ingmar Visser, Verena D. Schmittmann, and Maartje E. J. Raijmakers
     (2006).  Markov process models for discrimination learning.  In:
     Kees van Montfort, Han Oud, and Albert Satorra (Eds.),
     _Longitudinal models in the behavioral and related sciences_,
     Mahwah (NJ): Lawrence Erlbaum Associates (in press).

     Verena D. Schmittmann, Ingmar Visser and Maartje E. J. Raijmakers
     (2006).  Multiple learning modes in the development of rule-based
     category-learning task performance.  _Neuropsychologia, vol
     44(11)_, p.  2079-2091.

