Main Methods

Tools to conduct inference for regression models via the wild cluster bootstrap

boottest()

Fast wild cluster bootstrap inference

boottest(<lm>)

Fast wild cluster bootstrap inference for object of class lm

boottest(<felm>)

Fast wild cluster bootstrap inference for object of class felm

boottest(<fixest>)

Fast wild cluster bootstrap inference for object of class fixest

Internal functions

Functions to compute p-values, confidence intervals and preprocess the data

boot_algo2()

Fast wild cluster bootstrap algorithm

crosstab()

optimized collapse way to calculate crosstabs

eigenMatMult()

Matrix Multiplication via Eigen

p_val_null2()

Calculate p-values based on A, B, CC, CD, DD and other inputs

invert_p_val2()

Calculation of Confidence Sets

preprocess2()

function that pre-processes regression objects of type lm, fixest and feols

Methods to inspect results

Functions and methods to inspect results

plot(<boottest>)

Plot the bootstrap distribution of t-statistics

summary(<boottest>)

S3 method to summarize objects of class boottest

tidy(<boottest>)

S3 method to summarize objects of class boottest into tidy data.frame

Other

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(<lm>)

Fast wild cluster bootstrap inference for object of class lm

boottest()

Fast wild cluster bootstrap inference

boot_algo2()

Fast wild cluster bootstrap algorithm

check_set_nthreads()

Simple function that checks that the nber of threads is valid

cpp_get_nb_threads()

Get maximum number of threads on hardware for open mp support

create_data()

Simulate Data

crosstab()

optimized collapse way to calculate crosstabs

crosstab3()

collapse way to calculate crosstabs

crosstab4()

Function 4 to calculate crosstabs

.onLoad()

setting options for nthreads when package is loaded

eigenMapMatMult()

Matrix Multiplication via Eigen

eigenMatMult()

Matrix Multiplication via Eigen

getBoottest_nthreads()

get the number of threads for use with open mp

glance(<boottest>)

S3 method to glance at objects of class boottest

invert_p_val2()

Calculation of Confidence Sets

plot(<boottest>)

Plot the bootstrap distribution of t-statistics

preprocess2()

function that pre-processes regression objects of type lm, fixest and feols

p_val_null2()

Calculate p-values based on A, B, CC, CD, DD and other inputs

setBoottest_nthreads()

Set the number of threads for use with open mp via options By default, only one thread is used

summary(<boottest>)

S3 method to summarize objects of class boottest

tidy(<boottest>)

S3 method to summarize objects of class boottest into tidy data.frame

voters

Random example data set