| LocalControlStrategy-package | LocalControlStrategy: Unsupervised, Nonparametric Adjustment for Bias and Confounding |
| confirm | Confirm that Clustering in Covariate X-space yields an "adjusted" LTD/LRC effect-size Distribution |
| ivadj | Instrumental Variable LAO Fitting and Smoothing |
| KSperm | Simulate a p-value for the significance of the Kolmogorov-Smirnov D-statistic from confirm(). |
| LCcluster | Hierarchical Clustering of experimental units (such as patients) in X-covariate Space |
| LCcompare | Display LC Sensitivity Graphic for help in choice of K = Number of Clusters |
| LCsetup | Specify KEY parameters used in Local Control (LC) Strategy to "design" analyses of Observational Data. |
| lrcagg | Calculate the observed Distribution of LRCs in Local Control Strategy |
| ltdagg | Calculate the Observed Distribution of LTDs in Local Control Strategy |
| mlme | Create a <<Most-Like-Me>> data.frame for a specified X-Confounder vector: xvec |
| mlme.stats | Print Summary Statistics for One or More "Most-Like-Me" Histogram Pairs. |
| pci15k | Six-month Survival, Cardiac cost and Baseline Covariate data for 15,487 PCI patients. |
| plot.ivadj | Display an Instrumental Variable (LAO) plot with Linear and smooth.spline Fits |
| plot.lrcagg | Display Visualizations of an Observed LRC Distribution in Local Control Strategy |
| plot.ltdagg | Display Visualizations of an Observed LTD Distribution in Local Control Strategy |
| plot.mlme | Display a Pair (or Pairs) of Histograms showing LOCAL effect-sizes for Patients "Most-Like-Me". |
| print.mlme | Print Summary Statistics on Local effect-size Estimates for Patients "Most-Like-Me". |
| radon | Radon exposure and lung cancer mortality data for 2,881 US counties in 46 States. |
| reveal.data | Create a data.frame for use in Prediction of a LTD/LRC effect-size Distribution |