loc_median_fit {glmGamPoi} | R Documentation

## Estimate local median fit

### Description

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

### Usage

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

### Arguments

`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

### Details

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

### See Also

`locfit`: a package dedicated to local regression.

### Examples

      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")

[Package glmGamPoi version 1.6.0 Index]