dprocess-pomp              package:pomp              R Documentation

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

     The method 'dprocess' evaluates the probability density of a set
     of consecutive state transitions. This function is part of the
     low-level interface to 'pomp' objects. This help page does not
     give instructions on the implementation of models: see 'pomp' for
     instructions.

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

     dprocess(object, x, times, params, log = FALSE, ...)
     ## S4 method for signature 'pomp':
     dprocess(object, x, times, params, log = FALSE, ...)

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

  object: an object of class 'pomp'.

       x: a rank-3 array containing the states of the unobserved
          process. The dimensions of 'x' are 'nvars' x 'nreps' x
          'ntimes', where 'nvars' is the number of state variables,
          'nreps' is the number of replicates, and 'ntimes' is the
          length of 'times'. 

   times: a numeric vector containing the times corresponding to the
          given states. 

  params: a rank-2 array of parameters with columns corresponding to
          the columns of 'x'. Note that the 'x' and 'params' must agree
          in the number of their columns. 

     log: if TRUE, log probabilities are returned.

     ...: at present, these are ignored.

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

     This function is essentially a wrapper around the user-supplied
     'dprocess' slot of the 'pomp' object. For specifications on
     writing such a function, see 'pomp'.

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

     Returns a matrix of dimensions 'nreps' x 'ntimes-1'. If 'd' is the
     returned matrix, 'd[j,k]' is the likelihood of the transition from
     state 'x[,j,k-1]' at time 'times[k-1]' to state 'x[,j,k]' at time
     'times[k]'.

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

     Aaron A. King kingaa at umich dot edu

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

     'pomp-class', 'pomp'

