VRarima                 package:MASS                 R Documentation

_W_r_a_p_p_e_r _F_u_n_c_t_i_o_n_s _f_o_r _A_R_I_M_A _M_o_d_e_l_l_i_n_g

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

     Wrapper functions for ARIMA modelling.  These provide interfaces
     to `arima0', `predict.arima0' and `arima0.diag'.

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

     VRarima(x, order, seasonal, n.cond, ...)
     predict(object, n.ahead = 1, se.fit = TRUE, ...)
     diagnostics(x, ...)

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

       x: a time series. 

   order: a vector of three components, (p, d, q). 

seasonal: list with components `order' and `period': `order' is  vector
          of three components, (p, d, q). 

  n.cond: Ignored: for S-PLUS compatibility. 

  object: an object of class `"VRarima"'. 

 n.ahead: The number of steps ahead to predict. 

  se.fit: logical: should standard errors be returned? 

     ...: further arguments to `arima0', `predict.arima0' or
          `arima0.diag'. 

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

     For `VRarima', an object of class `"VRarima"' which inherits from
     `"arima0"'.

     For `predict.VRarima', a vector if `se.fit = FALSE', or a list
     with components `pred' and `se'.

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

     `arima0', `predict.arima0' and `arima0.diag'.

