Generalized k-Nearest Neighbors Classification or Regression

Usage

renoir_gknn(
  x,
  y = NULL,
  weights = NULL,
  offset = NULL,
  resp.type,
  observations = NULL,
  features = NULL,
  clean = FALSE,
  keep.call = TRUE,
  ...,
  k = 1
)

Arguments

x: the input matrix, where rows are observations and columns are variables
y: the response variable. Its number of rows must match the number of rows of x
weights: priors of the observations
offset: used only for GLM methods, it is an a priori known component to be included in the linear predictor during fitting
resp.type: the response type
observations: indices of observations to keep
features: indices of predictors to keep
...: further arguments to gknn
k: number of neighbours considered

Value

An object of class Trained

Author

Alessandro Barberis