HiddenMarkov-internal      package:HiddenMarkov      R Documentation

_I_n_t_e_r_n_a_l_l_y _U_s_e_d _F_u_n_c_t_i_o_n_s

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

     This page lists internally used functions. They should not be
     required by most users.

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

     ## S3 method for class 'mmpp':
     residuals(object, ...)

     as.dthmm(object)
     as.mmglm(object)

     makedensity(distn)
     makedensity1(distn)
     makedistn(distn)

     getj(x, j)

     dglm(x, x1, beta0, beta1, sigma, family, link, size = NA,
          log = FALSE)
     pglm(q, x1, beta0, beta1, sigma, family, link, size = NA,
          log = FALSE)

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

     The function 'makedensity' is used to reparameterise various R
     probability (or density) functions (e.g. 'dnorm' and 'dpois') into
     a format with a standard argument list. Similarly, 'makedistn'
     reparameterises a distribution function.

     The function 'getj' is used to extract the jth element from each
     vector component in a list object.

     The function 'as.dthmm' coerces an object with class '"mmglm"' to
     an object with class '"dthmm"'. Similarly, the function 'as.mmglm'
     coerces an object with class '"dthmm"' to an object with class
     '"mmglm"' (if possible).

     The functions 'dglm' and 'pglm' calculate the density and
     probability, respectively, for an observation given a generalised
     linear model.

