R: Directional Penalties for Optimal Matching in Observational Studies

# Directional Penalties for Optimal Matching in Observational Studies

## Documentation for package ‘DiPs’ version 0.6.4

- DESCRIPTION file

## Help Pages

addcaliper | Add a caliper, that need not be symmetric, to a distance object.
addDirectPenalty | Add a directional penalty to a distance object
addMagnitudePenalty | Add a directional magnitude penalty to a distance matrix
check | Check standardized mean differences (SMDs) of the matched data set.
edgenum | Computes the number of edges in the reduced bipartite graph.
maha_dense | Creates a robust Mahalanobis distance for matching based on a dense network.
maha_sparse | Creates a robust Mahalanobis distance for matching based on a sparse network.
match | Minimum-distance near-fine matching.
net | Optimal near-fine match from a distance matrix.
nh0506Homocysteine | Homocysteine and Smoking