R/other.R

In sensemakr: Sensitivity Analysis Tools for Regression Models

# General Sensitivity Statistics ------------------------------------------

# robustness value --------------------------------------------------------


#' Creates orthogonal residuals
#'
#' @description
#' This function is an auxiliary function for simulation purposes.
#' It creates a vector of n standard normal random variables, residualizes
#' this vector against a matrix of covariates C, then standardizes the vector again.
#'
#'
#' @param n sample size.
#' @param C a numeric matrix with \code{n} rows and \code{p} columns.
#' @return
#'
#' The function returns a numeric vector orthogonal to C.
#' @importFrom stats lm resid
#' @export
#' @keywords internal
resid_maker <- function(n, C){
  e <- resid(lm(rnorm(n) ~ C))
  e  <- c(scale(e))
  return(e)
}