fsst.beta.star.bs.fn: Computes one bootstrap estimates of 'beta.star' and 'x.star'
In conroylau/lpinfer: An R Package for Inference in Linear Programs

fsst.beta.star.bs.fn

R Documentation

Computes one bootstrap estimates of `beta.star` and `x.star`

Description

This function computes one bootstrap estimate for beta.star and x.star. This function is used in the fsst.beta.star.bs function via the future_map command.

Usage

fsst.beta.star.bs.fn(
  beta.obs.bs,
  data,
  lpmodel,
  beta.tgt,
  weight.mat,
  sigma.beta.obs,
  solver,
  pbar,
  progress,
  n.bs,
  eval.count
)

Arguments

`beta.obs.bs`	The bootstrap estimates of `beta.obs`.
`data`	An `data frame` or a `matrix`.
`lpmodel`	The `lpmodel` object.
`beta.tgt`	The value to be tested.
`weight.mat`	The weighting matrix for the `fsst` procedure.
`sigma.beta.obs`	An estimator of the asymptotic variance for `beta.obs`.
`solver`	The name of the linear and quadratic programming solver that is used to obtain the solution to linear and quadratic programs. The solvers supported by this package are `cplexAPI`, `gurobi`, `limSolve` and `Rcplex`.
`pbar`	The progress bar object.
`progress`	The boolean variable for whether the progress bars should be displayed. If it is set as `TRUE`, the progress bars will be displayed while the code is running.
`n.bs`	The total number of replications to be conducted in this procedure.
`eval.count`	The count for the number of times the `future_map` function has been called. If this object is zero, it means that the `future_map` function is being called for the first time in this subprocedure. Otherwise, it means that the `future_map` function has been called for more than once. This situation typically refers to the situations where there are some errors in the first time of the replications.