kernapply               package:stats               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, ...)

     ## Default S3 method:
     kernapply(x, k, circular = FALSE, ...)
     ## S3 method for class 'ts':
     kernapply(x, k, circular = FALSE, ...)
     ## S3 method for class 'vector':
     kernapply(x, k, circular = FALSE, ...)

     ## S3 method for class 'tskernel':
     kernapply(x, k, ...)

_A_r_g_u_m_e_n_t_s:

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

       k: smoothing '"tskernel"' object.

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

     ...: arguments passed to or from other methods.

_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