check_set_nthreads

<p>Integer. Number of threads to be used</p>

nthreads

<p>Simple function that checks that the nber of threads is valid</p>

Implementation of the fast algorithm for wild cluster bootstrap
inference developed in Roodman et al (2019, STATA Journal) for
linear regression models
<https://journals.sagepub.com/doi/full/10.1177/1536867X19830877>,
which makes it feasible to quickly calculate bootstrap test
statistics based on a large number of bootstrap draws even for
large samples - as long as the number of bootstrapping clusters
is not too large. Multiway clustering, regression weights,
bootstrap weights, fixed effects and subcluster bootstrapping
are supported. Further, both restricted (WCR) and unrestricted
(WCU) bootstrap are supported. Methods are provided for a variety
of fitted models, including 'lm()', 'feols()'
(from package 'fixest') and 'felm()' (from package 'lfe').

Alexander Fischer

fwildclusterboot

Fast Wild Cluster Bootstrap Inference for Linear Regression
Models

David Roodman

Achim Zeileis

Nathaniel Graham

Susanne Koell

Laurent Berge

Sebastian Krantz

check_set_nthreads function

Simple function that checks that the nber of threads is valid — check_set_nthreads

Simple function that checks that the nber of threads is valid

check_set_nthreads: Simple function that checks that the nber of threads is valid

Description

Usage

Arguments

Value