.onLoad                 setting options for nthreads when package is
                        loaded
boot_algo1              Fast wild cluster bootstrap algorithm
boot_algo2              Fast wild cluster bootstrap algorithm
boot_ssc                set the small sample correction factor applied
                        in 'boottest()'
boottest                Fast wild cluster bootstrap inference
boottest.felm           Fast wild cluster bootstrap inference for
                        object of class felm
boottest.fixest         Fast wild cluster bootstrap inference for
                        object of class fixest
boottest.ivreg          Fast wild cluster bootstrap inference for
                        object of class lm
boottest.lm             Fast wild cluster bootstrap inference for
                        object of class lm
check_deleted_obs       Function checks if addition of new clustering
                        variable leads to deletion of rows
cpp_get_nb_threads      Get maximum number of threads on hardware for
                        open mp support
create_data             Simulate Data
eigenMapMatMult         Matrix Multiplication via Eigen
get_seed                creates an integer based on the global random
                        seed set via set.seed() for using set.seed()
                        for controlling rcpp's seed, see this blog post
                        http://rorynolan.rbind.io/2018/09/30/rcsetseed/
get_ssc                 Compute small sample adjustment factors
glance.boottest         S3 method to glance at objects of class
                        boottest
mboottest               Arbitrary Linear Hypothesis Testing for
                        Regression Models via Wald-Tests
mboottest.felm          Fast wild cluster bootstrap inference for joint
                        hypotheses for object of class felm
mboottest.fixest        Fast wild cluster bootstrap inference for joint
                        hypotheses for object of class fixest
mboottest.lm            Fast wild cluster bootstrap inference of joint
                        hypotheses for object of class lm
plot.boottest           Plot the bootstrap distribution of t-statistics
setBoottest_boot_algo   Sets the bootstrap algo to be run via
                        'boottest()' and 'waldboottest()'
summary.boottest        S3 method to summarize objects of class
                        boottest
summary.mboottest       S3 method to summarize objects of class
                        mboottest
tidy.boottest           S3 method to summarize objects of class
                        boottest into tidy data.frame
tidy.mboottest          S3 method to summarize objects of class
                        mboottest into tidy data.frame
to_integer              Transform vectors of all types safely to
                        integer vectors
voters                  Random example data set
