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
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
variance.ratio.test     Variance ratio test
vcov.RI.regression.result
                        Get vcov() from object.
