Inference on Average Treatment Effects for Continuous Treatments
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘nbpInference’ version 1.0.3
Help Pages
| bias.corrected.neyman | Bias-corrected Neyman Sample Average Treatment Effect Estimator |
| classic.neyman | Classic Neyman Sample Average Treatment Effect Estimator |
| covAdj.variance | Covariate-Adjusted Variance Estimation |
| generate.data.dose | Generate example data with five covariates |
| generate.data.dose2 | Generate sample data with six covariates |
| make.pmatrix | Make matrix of treatment assignment probabilities |
| nbp.caliper | non-bipartite matching with treatment assignment caliper |