WaldBNLS function

Wald Test via Least Squares.

Wald Test via Least Squares.

Performs a Wald test of the null hypothesis that a subset of the regression parameters for the target outcome are zero.

WaldBNLS(t, s, X, is_zero)

Arguments

  • t: Target outcome vector.
  • s: Surrogate outcome vector.
  • X: Model matrix.
  • is_zero: Logical vector, with as many entires as columns in the target model matrix, indicating which columns have coefficient zero under the null.

Returns

A numeric vector containing the Wald statistic, the degrees of freedom, and a p-value.

  • Maintainer: Zachary McCaw
  • License: GPL-3
  • Last published: 2023-10-01

Useful links