wvcvlrss             package:wavethresh             R Documentation

_C_o_m_p_u_t_e_s _e_s_t_i_m_a_t_e _o_f _e_r_r_o_r _f_o_r _f_u_n_c_t_i_o_n _e_s_t_i_m_a_t_e.

_D_e_s_c_r_i_p_t_i_o_n:

     This function is merely a call to the 'GetRSSWST' function.

_U_s_a_g_e:

     wvcvlrss(threshold, ndata, levels, type, filter.number, family, norm, 
             verbose, InverseType)

_A_r_g_u_m_e_n_t_s:

threshold: the value of the threshold that you wish to compute the
          error of the estimate at

   ndata: the noisy data. This is a vector containing the signal plus
          noise. The length of this vector should be a power of two.

  levels: the levels over which you wish the threshold value to be
          computed (the threshold that is used in computing the
          estimate and error in the estimate). See the explanation for
          this argument in the 'threshold.wst' function. 

    type: whether to use hard or soft thresholding. See the explanation
          for this argument in the 'threshold.wst' function.

filter.number: This selects the smoothness of wavelet that you want to
          use in the decomposition. By default this is 10, the
          Daubechies least-asymmetric orthonormal compactly supported
          wavelet with 10 vanishing moments.

  family: specifies the family of wavelets that you want to use. The
          options are "DaubExPhase" and "DaubLeAsymm".

    norm: which measure of distance to judge the dissimilarity between
          the estimates. The functions 'l2norm' and 'linfnorm' are
          suitable examples.

 verbose: If 'TRUE' then informative messages are printed during the
          progression of the function, otherwise they are not.

InverseType: The possible options are "average" or "minent". The former
          uses basis averaging to form estimates of the unknown
          function. The "minent" function selects a basis using the
          Coifman and Wickerhauser, 1992 algorithm to select a basis to
          invert.

_D_e_t_a_i_l_s:

     This function is merely a call to the 'GetRSSWST' function with a
     few arguments interchanged. In particular, the first two arguments
     are interchanged. This is to make life easier for use with the
     'nlminb' function which expects the first argument of the function
     it is trying to optimise to be the variable that the function is
     optimised over.

_V_a_l_u_e:

     A real number which is estimate of the error between estimate and
     truth at the given threshold.

_R_E_L_E_A_S_E:

     Version 3.6 Copyright Guy Nason 1995

_S_e_e _A_l_s_o:

     'GetRSSWST'.

_E_x_a_m_p_l_e_s:

     #
     # This function performs the error estimation step for the
     # wstCVl function and so is not intended for
     # user use. 
     #

