lmImpute: Locally Weighted Linear Imputation

In jeffwong/imputation: imputation

Description

Fill missing values in a column by running a locally weighted least squares regression against the row number. Good for large data (large number of records)

Usage

  lmImpute(x, ...)

Arguments

x	a data frame or matrix where each row represents a different record
...	additional parameters passed to locfit

Examples

x = matrix(rnorm(100),10,10)
  x.missing = x > 1
  x[x.missing] = NA
  lmImpute(x)

jeffwong/imputation documentation built on May 19, 2019, 4:02 a.m.