Package: DirectEffects 0.3

Matthew Blackwell

DirectEffects: Estimating Controlled Direct Effects for Explaining Causal Findings

A set of functions to estimate the controlled direct effect of treatment fixing a potential mediator to a specific value. Implements the sequential g-estimation estimator described in Vansteelandt (2009) <doi:10.1097/EDE.0b013e3181b6f4c9> and Acharya, Blackwell, and Sen (2016) <doi:10.1017/S0003055416000216> and the telescope matching estimator described in Blackwell and Strezhnev (2020) <doi:10.1111/rssa.12759>.

Authors:Matthew Blackwell [aut, cre], Avidit Acharya [aut], Maya Sen [aut], Shiro Kuriwaki [aut], Jacob Brown [aut], Anton Strezhnev [aut]

DirectEffects_0.3.tar.gz
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DirectEffects.pdf |DirectEffects.html✨
DirectEffects/json (API)

# Install 'DirectEffects' in R:
install.packages('DirectEffects', repos = c('https://mattblackwell.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mattblackwell/directeffects/issues

Pkgdown site:https://mattblackwell.github.io

Datasets:
  • civilwar - Data on civil wars and internal conflict from 1945-1999.
  • jobcorps - Data on health and employment outcomes measured as part of the U.S. Job Corps employment training experiment.
  • ploughs - Data on historical plough use and the socioeconomic status of women.
  • transphobia - Data from a randomized experiment on transgender rights.

On CRAN:

5.96 score 18 stars 17 scripts 248 downloads 19 exports 26 dependencies

Last updated 2 months agofrom:f667531a1a. Checks:3 OK, 3 NOTE, 1 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 15 2025
R-4.5-winOKJan 15 2025
R-4.5-linuxOKJan 15 2025
R-4.4-winNOTEJan 15 2025
R-4.4-macNOTEJan 15 2025
R-4.3-winERRORJan 15 2025
R-4.3-macNOTEJan 15 2025

Exports:balance_tablebalance.tmatchboots_gboots_tmcde_aipwcde_did_aipwcde_ipwcde_reg_imputecde_telescope_matchcdesensestimateglanceoutreg_modelplotDiag.tmatchsequential_gset_treatmenttelescope_matchtidytreat_model

Dependencies:backportsbroomclicpp11dplyrfansiFormulagenericsgluelifecyclemagrittrMASSMatchingpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr

Estimating controlled direct effects

Rendered fromDirectEffects.Rmdusingknitr::rmarkdownon Jan 15 2025.

Last update: 2024-10-01
Started: 2018-02-27

Readme and manuals

Help Manual

Help pageTopics
Balance diagnostics telescope matchingbalance_table
Balance diagnostics for Telescope Match objectsbalance.tmatch
Coefficient Estimates across Bootstrapped Samplesboots_g
Bootstrap Uncertainty Estimates for Telescope Matchingboots_tm
Initialize an AIPW CDE estimatorcde_aipw
Initialize an AIPW DID-CDE estimatorcde_did_aipw
Initialize an IPW CDE estimatorcde_ipw
Initialize an regression imputation CDE estimatorcde_reg_impute
Initialize an telescope matching CDE estimatorcde_telescope_match
Estimate sensitivity of ACDE estimates under varying levels of unobserved confoundingcdesens
Data on civil wars and internal conflict from 1945-1999.civilwar
Fit a specified CDE estimatorestimate
Data on health and employment outcomes measured as part of the U.S. Job Corps employment training experiment.jobcorps
Specify the outcome regression model for a CDE treatmentoutreg_model
Plot output from cdesensplot.cdesens
Histograms of matching weightsplotDiag.tmatch
Data on historical plough use and the socioeconomic status of women.ploughs
Perform linear sequential g-estimation to estimate the controlled direct effect of a treatment net the effect of a mediator.sequential_g
Specifiy a treatment variable for a controlled direct effectset_treatment
Computes standard errors and p-values of DirectEffects estimatessummary.seqg
Summary of DirectEffect Bootstrap Estimatessummary.seqgboots
Summarize telescope match objectssummary.tmatch
Perform telescope matching to estimate the controlled direct effect of a binary treatment net the effect of binary mediatorstelescope_match
Data from a randomized experiment on transgender rights.transphobia
Specify the propensity score model for a CDE treatmenttreat_model