Estimating Controlled Direct Effects for Explaining Causal Findings

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Documentation for package ‘DirectEffects’ version 0.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

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
cdesens	Estimate sensitivity of ACDE estimates under varying levels of unobserved confounding
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
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
transphobia	Data from a randomized experiment on transgender rights.
treat_model	Specify the propensity score model for a CDE treatment