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All functions

balance.tmatch()
Balance diagnostics for Telescope Match objects
balance_table()
Balance diagnostics telescope matching
boots_g()
Coefficient Estimates across Bootstrapped Samples
boots_tm()
Bootstrap Uncertainty Estimates for Telescope Matching
cde_aipw()
Initialize an AIPW CDE estimator
cde_did_aipw()
Initialize an AIPW DID-CDE estimator
cde_ipw()
Initialize an IPW CDE estimator
cde_reg_impute()
Initialize an regression imputation CDE estimator
cde_telescope_match()
Initialize an telescope matching CDE estimator
cdesens()
Estimate sensitivity of ACDE estimates under varying levels of unobserved confounding
civilwar
Data on civil wars and internal conflict from 1945-1999.
estimate()
Fit a specified CDE estimator
jobcorps
Data on health and employment outcomes measured as part of the U.S. Job Corps employment training experiment.
outreg_model()
Specify the outcome regression model for a CDE treatment
plot(<cdesens>)
Plot output from cdesens
plotDiag.tmatch()
Histograms of matching weights
ploughs
Data on historical plough use and the socioeconomic status of women.
sequential_g()
Perform linear sequential g-estimation to estimate the controlled direct effect of a treatment net the effect of a mediator.
set_treatment()
Specifiy a treatment variable for a controlled direct effect
summary(<seqg>)
Computes standard errors and p-values of DirectEffects estimates
summary(<seqgboots>)
Summary of DirectEffect Bootstrap Estimates
summary(<tmatch>)
Summarize telescope match objects
telescope_match()
Perform telescope matching to estimate the controlled direct effect of a binary treatment net the effect of binary mediators
treat_model()
Specify the propensity score model for a CDE treatment