fsst.beta.bs: Computing the bootstrap estimates of 'beta.obs'

In conroylau/lpinfer: An R Package for Inference in Linear Programs

Computing the bootstrap estimates of beta.obs

Description

This function computes the bootstrap estimates of \hat{\beta}_{{\rm obs}, n}.

Usage

fsst.beta.bs(
  n,
  data,
  beta.obs.hat,
  lpmodel,
  R,
  maxR,
  progress,
  df.error,
  iseq,
  eval.count
)

Arguments

n	The sample size. This is only required if data is omitted in the input.
data	An data frame or a matrix.
beta.obs.hat	The sample estimator \widehat{\bm{\beta}}_{\mathrm{obs}, n} based on the given information in lpmodel (and data if applicable).
lpmodel	An lpmodel object.
R	The number of bootstrap replications.
maxR	The maximum number of bootstrap replications to be considered in case there are some errors.
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.
df.error	A table showing the id of the bootstrap replication(s) with error(s) and the corresponding error message(s).
iseq	The list of indices or betas to iterate over.
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.

Value

Returns the bootstrap estimators.

beta.obs.bs	A list of bootstrap estimators \{\hat{\beta}_{{\rm obs}, n, b}\}^B_{b=1}.
df.error	An updated table showing the id of the bootstrap replication(s) with error(s) and the corresponding error message(s).
R.eval	The number of bootstrap replications that has been conducted.
R.succ	The number of successful bootstrap replications.

conroylau/lpinfer documentation built on Oct. 25, 2024, 4 a.m.