Fisherian and Neymanian Methods for Detecting and Measuring
Treatment Effect Variation
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Documentation for package ‘hettx’ version 0.1.3
Help Pages
| 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 |