KS_stat                 KS_stat
Penn46_ascii            Sample data set
R2                      Estimate treatment variation R2
SE                      Extract the standard errors from a var-cov
                        matrix.
SKS_pool_t              SKS_pool_t
SKS_stat                SKS_stat
SKS_stat_cov_pool       SKS_stat_cov_pool
SKS_stat_cov_rq         SKS_stat_cov_rq
SKS_stat_int_cov_pool   SKS_stat_int_cov_pool
ToyData                 Toy data set
WSKS_t                  WSKS_t
coef.RI.regression.result
                        Extract coefficients of a fit RI regression
                        model.
detect_idiosyncratic    detect_idiosyncratic
estimate_systematic     Calculate systematic effects model using LATE,
                        ITT, or full potential outcomes.
get_p_value             get p-value along with uncertainty on p-value
glance.FRTCI.test       Glance at a FRTCI.test result
glance.RI.R2.result     Glance at an RI.R2.result
glance.RI.regression.result
                        Glance at an RI.regression.result
hettx-package           Fisherian and Neymanian Methods for Detecting
                        and Measuring Treatment Effect Variation
make_linear_data        Generate dataset according to a linear model.
make_randomized_compliance_dat
                        Generate fake data with noncompliance.
make_randomized_dat     Make fake data for simulations
plot.FRTCI.test         plot.FRTCI.test
plot.RI.R2.result       Make a plot of the treatment effect R2
                        estimates
rq_stat                 rq_stat
test_stat_info          test_stat_info
tidy.FRTCI.test         Tidy a FRTCI.test result
tidy.RI.R2.result       Tidy an RI.R2.result
tidy.RI.regression.result
                        Tidy an RI.regression.result
variance_ratio_test     Variance ratio test
vcov.RI.regression.result
                        Get vcov() from object.
