loc_median_fit: Estimate local median fit
In glmGamPoi: Fit a Gamma-Poisson Generalized Linear Model

Description Usage Arguments Details See Also Examples

This function fits y based on x through a (weighted) median using the npoints/2 neighborhood.

loc_median_fit(
  x,
  y,
  fraction = 0.1,
  npoints = max(1, round(length(x) * fraction)),
  weighted = TRUE,
  ignore_zeros = FALSE
)

`x, y`	the x and y coordinates of the points.
`fraction, npoints`	the fraction / number of the points that are considered for each fit. `npoints` is the argument that is used in the end it is at least one. Default: `fraction = 0.1` and `npoints = length(x) * fraction`.
`weighted`	a boolean that indicates if a weighted median is calculated.
`ignore_zeros`	should the zeros be excluded from the fit

This function is low-level and should usually not be called by the user.

locfit: a package dedicated to local regression.

  x <- runif(n = 1000, max = 4)
  y <- rpois(n = 1000, lambda = x * 10)

  plot(x, y)
  fit <- loc_median_fit(x, y, fraction = 0.1)
  points(x, fit, col = "red")