loc_median_fit: Estimate local median fit

In const-ae/glmGamPoi: Fit a Gamma-Poisson Generalized Linear Model

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,
  sample_fraction = 1
)

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
sample_fraction	use a fraction of the data to estimate the local median. Useful for extremely large datasets where the trend is well-sampled

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)
  fit2 <- loc_median_fit(x, y, fraction = 0.1, sample_fraction = 0.75)
  points(x, fit, col = "red")
  points(x, fit2, col = "blue")

const-ae/glmGamPoi documentation built on July 25, 2024, 10:22 p.m.