XdeMcmc-class              package:XDE              R Documentation

_C_l_a_s_s _f_o_r _s_t_o_r_i_n_g _o_u_t_p_u_t _f_r_o_m _t_h_e _B_a_y_e_s_i_a_n _m_o_d_e_l

_D_e_s_c_r_i_p_t_i_o_n:

     Stores output, including the last iteration of the MCMC.

_O_b_j_e_c_t_s _f_r_o_m _t_h_e _C_l_a_s_s:

     Objects can be created by calls of the form 'new("XdeMcmc",
     studyNames, featureNames, iterations, seed, output, directory,
     lastMcmc, posteriorAvg, bayesianEffectSize)'.

_S_l_o_t_s:


     '_s_t_u_d_y_N_a_m_e_s': Object of class '"character"' 

     '_f_e_a_t_u_r_e_N_a_m_e_s': Object of class '"character"' 

     '_i_t_e_r_a_t_i_o_n_s': Object of class '"numeric"' 

     '_d_i_r_e_c_t_o_r_y': Object of class '"character"' 

     '_s_e_e_d': Object of class '"integer"' 

     '_o_u_t_p_u_t': Object of class '"numeric"' 

     '_l_a_s_t_M_c_m_c': Object of class '"environment"' 

     '_p_o_s_t_e_r_i_o_r_A_v_g': Object of class '"NULLorMatrix"' 

     '_b_a_y_e_s_i_a_n_E_f_f_e_c_t_S_i_z_e': Object of class '"NULLorMatrix"' 

_M_e_t_h_o_d_s:


     '$' 'signature(x = "XdeMcmc")' 

     ._s_t_a_n_d_a_r_d_i_z_e_d_D_e_l_t_a 'signature(object = "XdeMcmc")'

     _b_a_y_e_s_i_a_n_E_f_f_e_c_t_S_i_z_e 'signature(object = "XdeMcmc")' 

     _b_a_y_e_s_i_a_n_E_f_f_e_c_t_S_i_z_e<- 'signature(object = "XdeMcmc", value =
          "matrix")' 

     _c_a_l_c_u_l_a_t_e_P_o_s_t_e_r_i_o_r_A_v_g 'signature(object = "XdeMcmc")': See
          'calculatePosteriorAvg'

     _d_i_r_e_c_t_o_r_y 'signature(object = "XdeMcmc")' 

     _f_e_a_t_u_r_e_N_a_m_e_s 'signature(object = "XdeMcmc")' 

     _i_n_i_t_i_a_l_i_z_e 'signature(.Object = "XdeMcmc")' 

     _i_t_e_r_a_t_i_o_n_s 'signature(object = "XdeMcmc")' 

     _l_a_s_t_M_c_m_c 'signature(object = "XdeMcmc")' 

     _n_r_o_w 'signature(x = "XdeMcmc")' 

     _o_u_t_p_u_t 'signature(object = "XdeMcmc")' 

     _p_l_o_t 'signature(x = "XdeMcmc")' 

     _p_o_s_t_e_r_i_o_r_A_v_g 'signature(object = "XdeMcmc")' 

     _s_e_e_d 'signature(object = "XdeMcmc")' 

     _s_h_o_w 'signature(object = "XdeMcmc")' 

     _s_t_u_d_y_N_a_m_e_s 'signature(object = "XdeMcmc")' 

_A_u_t_h_o_r(_s):

     R. Scharpf

_S_e_e _A_l_s_o:

     The class for storing the data: 'ExpressionSetList-class' and the
     class that contains default options for fitting the Bayesian
     model: 'XdeParameter-class'

_E_x_a_m_p_l_e_s:

     ##See XDE vignette:
     ## Not run: 
     openVignette(package="XDE")
     ## End(Not run)

