1#ifndef WEIGHTEDLOWESS_COMPUTE_HPP 
    2#define WEIGHTEDLOWESS_COMPUTE_HPP 
    7#include "sanisizer/sanisizer.hpp" 
   46template<
typename Data_>
 
   48    const std::size_t num_points,
 
   53    Data_* robust_weights,
 
   56    std::vector<Data_> rbuffer;
 
   57    if (robust_weights == NULL) {
 
   58        sanisizer::resize(rbuffer, num_points);
 
   59        robust_weights = rbuffer.data();
 
   61    internal::fit_trend(num_points, x, windows, y, fitted, robust_weights, opt);
 
 
   79template<
typename Data_>
 
   81    const std::size_t num_points,
 
   85    Data_* 
const robust_weights,
 
   89    compute(num_points, x, win, y, fitted, robust_weights, opt);
 
 
   98template<
typename Data_>
 
  104        fitted(sanisizer::cast<I<decltype(
fitted.size())> >(n)),
 
 
 
  133template<
typename Data_>
 
  135    const std::size_t num_points,
 
  136    const Data_* 
const x,
 
  137    const Data_* 
const y,
 
 
 
Namespace for LOWESS functions.
Definition compute.hpp:18
PrecomputedWindows< Data_ > define_windows(const std::size_t num_points, const Data_ *const x, const Options< Data_ > &opt)
Definition window.hpp:267
void compute(const std::size_t num_points, const Data_ *const x, const PrecomputedWindows< Data_ > &windows, const Data_ *const y, Data_ *const fitted, Data_ *robust_weights, const Options< Data_ > &opt)
Definition compute.hpp:47
Options for compute().
Definition Options.hpp:17
Precomputed windows for LOWESS smoothing.
Definition window.hpp:234
Results of the LOWESS smoother.
Definition compute.hpp:99
std::vector< Data_ > fitted
Definition compute.hpp:111
Results(const std::size_t n)
Definition compute.hpp:103
std::vector< Data_ > robust_weights
Definition compute.hpp:116