hettx-package |
Fisherian and Neymanian Methods for Detecting and Measuring Treatment Effect Variation |
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 |
KS.stat |
KS.stat |
make.linear.data |
Generate dataset according to a linear model. |
make.quadradic.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 |
make.skew.data |
Generate dataset according to a linear model. |
Penn46_ascii |
Sample data set |
plot.FRTCI.test |
plot.FRTCI.test |
plot.RI.R2.result |
Make a plot of the treatment effect R2 estimates |
R2 |
Estimate treatment variation R2 |
rq.stat |
rq.stat |
rq.stat.cond.cov |
rq.stat |
rq.stat.uncond.cov |
rq.stat |
SE |
Extract the standard errors from a var-cov matrix. |
SKS.pool.t |
SKS.pool.t |
SKS.stat |
SKS.stat |
SKS.stat.cov |
SKS.stat.cov.pool |
SKS.stat.cov.pool |
SKS.stat.cov.pool |
SKS.stat.cov.rq |
SKS.stat.cov.rq |
SKS.stat.int.cov |
SKS.stat.int.cov.pool |
SKS.stat.int.cov.pool |
SKS.stat.int.cov.pool |
test.stat.info |
test.stat.info |
ToyData |
Toy data set |
variance.ratio.test |
Variance ratio test |
vcov.RI.regression.result |
Get vcov() from object. |
WSKS.t |
WSKS.t |