

kernapply {ts}                               R Documentation

_A_p_p_l_y _S_m_o_o_t_h_i_n_g _K_e_r_n_e_l

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

     `kernapply' computes the convolution between an input
     sequence and a specific kernel.

_U_s_a_g_e_:

     kernapply(x, k, circular = FALSE)
     kernapply(k1, k2)

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

k, k1, k2: smoothing `"tskernel"' objects.

       x: an input vector, matrix, or time series to be
          smoothed.

circular: a logical indicating whether the input sequence to
          be smoothed is treated as circular, i.e., peri-
          odic.

_V_a_l_u_e_:

     A smoothed version of the input sequence.

_A_u_t_h_o_r_(_s_)_:

     A. Trapletti

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

     `kernel', `convolve', `filter', `spectrum'

_E_x_a_m_p_l_e_s_:

     ## see `kernel' for examples

