Methods and Examples from Introduction to the Theory of Observational Studies

Documentation for package ‘iTOS’ version 1.0.3

iTOS-package	Methods and Examples from Introduction to the Theory of Observational Studies
addcaliper	Add a Caliper to an Existing Cost Matrix
addinteger	Add an Integer Penalty to an Existing Distance Matrix
addMahal	Rank-Based Mahalanobis Distance Matrix
addNearExact	Add a Near-exact Penalty to an Exisiting Distance Matrix.
addquantile	Cut a Covariate at Quantiles and Add a Penalty for Different Quantile Categories
aHDL	Alcohol and HDL Cholesterol
amplify	Amplification of sensitivity analysis in observational studies.
binge	Binge Drinking and High Blood Pressure
bingeM	Binge Drinking and High Blood Pressure - Matched With Two Control Groups
computep	Computes individual and pairwise treatment assignment probabilities.
ev	Computes the null expectation and variance for one stratum.
evalBal	Evaluate Covariate Balance in a Matched Sample
evall	Compute expectations and variances for one stratum.
gconv	Convolution of Two Probability Generating Functions
iTOS	Methods and Examples from Introduction to the Theory of Observational Studies
makematch	Two-Criteria Matching
makenetwork	Make the Network Used for Matching with Two Criteria
noether	Sensitivity Analysis Using Noether's Test for Matched Pairs
startcost	Initialize a Distance Matrix.
zeta	zeta function in sensitivity analysis