NMixChainsDerived           package:mixAK           R Documentation

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

     Currently, this function creates chains for marginal means of
     exp(data) from previously sampled values (see 'NMixMCMC'). This is
     useful in survival context when a density of Y=log(T) is modelled
     using the function 'NMixMCMC' and we are interested in inference
     on ET = Eexp(Y).

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

     NMixChainsDerived(object)

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

  object: an object of class 'NMixMCMC' or 'NMixMCMClist'

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

     An object of the same class as argument 'object'. When 'object'
     was of class 'NMixMCMC', the resulting object contains
     additionally the following components: 

chains.derived: a 'data.frame' with columns labeled 'expy.Mean.1', ...,
          'expy.Mean.p' containing the sampled values of Eexp(Y[1]),
          ..., Eexp(Y[p]).

summ.expy.Mean: posterior summary statistics for Eexp(Y[1]), ...,
          Eexp(Y[p]).


     When 'object' was of the class 'NMixMCMClist' then each of its
     components (chains) is augmented by new components
     'chains.derived' and 'summ.expy.Mean'.

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

     Arno&#353t Kom&#225rek arnost.komarek[AT]mff.cuni.cz

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

     'NMixMCMC'.

