Software
This page lists software packages in R, Stata, and Python for the tasks that the methods guides describe. The packages are arranged by topic. Choose a topic from the contents above to see its packages, each with one sentence on what the package does and the command that installs it. A reader who clicks the heading Package or Latest release sorts that topic’s table by name or by release date. A second click reverses the order.
EGAP has not tested every package listed here. EGAP assembled the list in October 2026 from three sources: the R packages that the guides use, an earlier EGAP list of software, and three CRAN Task Views, which are lists of R packages kept by volunteers. For each package, EGAP checked that the archive linked from its name still distributes it, and recorded the date of its latest release where the archive gives one. The one-sentence descriptions were drafted from each package’s own title and description, and EGAP has not yet checked all of them.
Three notes appear beside some packages:
- Guide: the R code in that guide loads the package, so readers can see the package used in the guide’s examples.
- Learning Days: EGAP’s book The Theory and Practice of Field Experiments or its Learning Days workshop materials use the package.
- EGAP author: at least one author of the package is a member of EGAP.
To suggest a package or correct an entry, open an issue or a pull request on GitHub. The list is the file software/catalog.csv in that repository.
Designing a study
Planning a study and computing power
Related guides: Statistical Power, Pilot Studies, Pre-Analysis Plans
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| clusterPower R |
Power for cluster-randomized and crossover trials by formula or simulation. | remotes::install_github("Kenkleinman/clusterPower") |
||
| cosa R |
2021-11-20 | Power and optimal allocation for multilevel randomized trials and discontinuity designs. | install.packages("cosa") |
|
| CRTSize R |
2023-02-22 | Sample size for cluster randomized trials, binary or continuous outcomes. | install.packages("CRTSize") |
|
| DeclareDesign R |
2026-10-25 | Declares and diagnoses research designs by simulation, including power. | install.packages("DeclareDesign") |
Guide: Statistical Power Learning Days EGAP author: Coppock, Blair, Cooper, Humphreys |
| DesignLibrary R |
2021-10-18 | Ready-made DeclareDesign designs for one-line power and design diagnosis. | install.packages("DesignLibrary") |
Learning Days EGAP author: Blair, Cooper, Coppock, Humphreys, Medina |
| fabricatr R |
2026-10-21 | Simulates data, including potential outcomes, to diagnose a design before fielding. | install.packages("fabricatr") |
Learning Days EGAP author: Coppock, Blair, Cooper, Humphreys |
| ICC R |
2022-05-20 | Estimates the intraclass correlation, which power calculations for cluster-randomized designs need. | install.packages("ICC") |
Learning Days |
| odr R |
2026-02-11 | Power and optimal sample allocation for single and multilevel experiments. | install.packages("odr") |
|
| powerLATE R |
2024-05-29 | Power calculations when estimating the LATE under noncompliance. | install.packages("powerLATE") |
Guide: Local Average Treatment Effect |
| PowerUpR R |
Power and sample size for multilevel and cluster randomized experiments. | remotes::install_github("metinbulus/PowerUpR") |
||
| presize R |
2026-03-11 | Sample size chosen by target confidence interval width, many estimands | install.packages("presize") |
|
| pwr R |
2020-03-17 | Basic power calculations for t-tests, proportions, correlations, and more. | install.packages("pwr") |
Learning Days |
| pwrss R |
2026-10-14 | Power, sample size, and minimum detectable effect calculations for common tests. | install.packages("pwrss") |
Learning Days |
| simglm R |
2026-09-01 | Simulation-based power for regression and multilevel designs, including missing data | install.packages("simglm") |
|
| WebPower R |
2023-10-13 | Basic and advanced power analysis for many designs and models. | install.packages("WebPower") |
|
| cluster2 Stata |
2020-04-07 | Power analysis for two-level cluster randomized trials. | ssc install cluster2 |
|
| cluster3 Stata |
2020-04-07 | Power analysis for cluster randomized trials with up to three levels. | ssc install cluster3 |
|
| clustersampsim Stata |
2020-05-16 | Simulates sample size requirements for cluster randomized trials. | ssc install clustersampsim |
|
| nonparmde Stata |
2012-12-09 | Minimum detectable effect for randomized experiments. | ssc install nonparmde |
EGAP author: Middleton |
| pcpanel Stata |
2021-11-14 | Power calculations for randomized experiments with panel data and serial correlation. | ssc install pcpanel |
|
| powercal Stata |
2012-03-31 | General power and sample size calculations. | ssc install powercal |
|
| powerclus Stata |
2017-11-17 | Sample size and cluster size for cluster randomized designs. | ssc install powerclus |
Random assignment, including blocked, cluster, and adaptive designs
Related guides: Randomization, Cluster Randomization, Multisite or Block-Randomized Trials, Adaptive Experimental Design
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| blockTools R |
2025-01-22 | Blocks units on covariates and randomly assigns treatment within blocks. | install.packages("blockTools") |
Guide: Randomization Learning Days EGAP author: Moore |
| cvcrand R |
2023-09-17 | Constrained randomization and permutation tests for few-cluster trials. | install.packages("cvcrand") |
|
| quickblock R |
2024-07-31 | Fast threshold blocking for assigning treatments in large experiments. | install.packages("quickblock") |
EGAP author: Sekhon |
| randomizr R |
2026-08-27 | Random assignment for common designs, including blocked and clustered. | install.packages("randomizr") |
Guide: 10 Things on Your Checklist for Analyzing an Experiment, Hypothesis Testing, Measurement in Experiments, Missing Data, Multiple Comparisons, Randomization Learning Days EGAP author: Coppock, Cooper, Blair, Humphreys |
| RCT R |
2024-02-21 | Stratified assignment, power, balance tables, and impact regressions for RCTs. | install.packages("RCT") |
|
| cvcrand Stata |
2025-10-31 | Covariate-constrained randomization for cluster randomized trials, with a permutation test (cptest) for the analysis. | ssc install cvcrand |
|
| ralloc Stata |
2018-01-28 | Generates randomized allocation sequences, including blocked and stratified designs. | ssc install ralloc |
|
| randomize Stata |
2017-06-01 | Random assignment with blocking, balance checks, and rerandomization. | ssc install randomize |
|
| randomizr Stata |
2017-09-19 | Implements standard random assignment procedures, Stata port of randomizr. | ssc install randomizr |
|
| randtreat Stata |
2017-04-13 | Random assignment with unequal treatment shares and handling of misfits. | ssc install randtreat |
|
| stratarand Stata |
2015-02-22 | Stratified random assignment. | ssc install stratarand |
Sampling
Related guides: Sampling
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| rsz Stata |
2017-02-09 | Draws stratified, systematic, or PPS samples. | ssc install rsz |
Analyzing an experiment
Checking balance
Related guides: Randomization, 10 Things on Your Checklist for Analyzing an Experiment, Cluster Randomization
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| cobalt R |
2026-08-25 | Balance tables and plots for matched, weighted, or randomized groups. | install.packages("cobalt") |
|
| equivtest R |
Equivalence tests for covariate balance and placebo checks. | remotes::install_github("ekhartman/equivtest") |
EGAP author: Hartman, Hidalgo | |
| RItools R |
2025-05-17 | Omnibus randomization test of covariate balance across treatment groups. | install.packages("RItools") |
Guide: Cluster Randomization Learning Days EGAP author: Bowers |
| tableone R |
2022-04-15 | Baseline covariate table with standardized mean differences by group | install.packages("tableone") |
|
| balancetable Stata |
2018-11-23 | Builds covariate balance tables exportable to LaTeX or Excel. | ssc install balancetable |
|
| stddiff Stata |
2022-12-17 | Standardized differences to check covariate balance. | ssc install stddiff |
|
| xbalance Stata |
2009-01-23 | Standardized differences and omnibus balance test for stratified comparisons. | ssc install xbalance |
EGAP author: Bowers |
Estimating average effects and their standard errors
Related guides: 10 Things on Your Checklist for Analyzing an Experiment, Covariate Adjustment, Reading a Regression Table, 10 Types of Treatment Effect You Should Know About
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| eefAnalytics R |
2025-01-09 | Analyzes simple, cluster, and multisite randomized trials of education programs. | install.packages("eefAnalytics") |
|
| estimatr R |
2026-10-10 | Difference in means, Lin regression, IV, with robust and clustered standard errors. | install.packages("estimatr") |
Guide: Hypothesis Testing, Measurement in Experiments, Missing Data Learning Days EGAP author: Coppock, Blair, Cooper, Humphreys, Medina |
| fixest R |
2026-06-26 | Fast regressions with fixed effects and clustered standard errors. | install.packages("fixest") |
|
| lme4 R |
2026-10-23 | Fits multilevel (mixed-effects) regression models, for example for outcomes in cluster-randomized trials. | install.packages("lme4") |
Guide: Cluster Randomization Learning Days |
| lmtest R |
2022-03-21 | Tests on regression coefficients, and with sandwich reports robust or clustered standard errors. | install.packages("lmtest") |
Guide: Cluster Randomization Learning Days |
| marginaleffects R |
2026-09-03 | Turns fitted models into treatment effect contrasts with standard errors. | install.packages("marginaleffects") |
|
| modelsummary R |
2026-02-13 | Side-by-side regression tables of estimates, plus balance tables. | install.packages("modelsummary") |
Guide: 10 Things on Your Checklist for Analyzing an Experiment |
| multiwayvcov R |
2016-05-05 | Standard errors clustered on more than one variable for regression estimates. | install.packages("multiwayvcov") |
Learning Days |
| propertee R |
2026-07-20 | Estimates average treatment effects, with optional covariance adjustment from a model fit to other data, in blocked and cluster-randomized designs. | install.packages("propertee") |
Learning Days |
| sandwich R |
2026-08-03 | Robust and clustered standard errors for regression estimates. | install.packages("sandwich") |
Guide: Cluster Randomization Learning Days |
| pdslasso Stata |
2024-08-06 | Lasso picks covariates for adjustment in OLS or IV effect estimates. | ssc install pdslasso |
|
| rctable Stata |
2026-09-26 | Builds treatment effect tables for randomized controlled trials. | ssc install rctable |
|
| reghdfe Stata |
2026-01-11 | Regression with many fixed effects and clustered standard errors. | ssc install reghdfe |
Randomization inference
Related guides: Randomization Inference, 10 Randomization Inference Procedures with ri2, Hypothesis Testing
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| CMRSS R |
Randomization inference for quantiles of individual treatment effects in completely randomized and stratified experiments. | remotes::install_github("bowers-illinois-edu/CMRSS") |
EGAP author: Bowers | |
| coin R |
2026-09-30 | Permutation tests for two-sample, K-sample, and blocked designs. | install.packages("coin") |
Guide: Hypothesis Testing, Randomization Inference Learning Days |
| Counternull R |
2024-02-24 | Fisher exact p-values, Fisher intervals, and counternull sets for experiments. | install.packages("Counternull") |
|
| ri2 R |
2026-07-29 | Randomization inference for simple and complex randomized designs. | install.packages("ri2") |
Guide: 10 Things on Your Checklist for Analyzing an Experiment, Hypothesis Testing, Randomization Inference, 10 Randomization Inference Procedures with ri2 Learning Days EGAP author: Coppock |
| riposte R |
Randomization tests that combine several versions of an outcome (raw values, ranks, distances) to find effects a difference of means misses. | remotes::install_github("bowers-illinois-edu/riposte") |
EGAP author: Bowers | |
| RItools R |
2025-05-17 | Omnibus randomization test of covariate balance across treatment groups. | install.packages("RItools") |
Guide: Cluster Randomization Learning Days EGAP author: Bowers |
| cvcrand Stata |
2025-10-31 | Covariate-constrained randomization for cluster randomized trials, with a permutation test (cptest) for the analysis. | ssc install cvcrand |
|
| randcmd Stata |
2020-05-02 | Randomization inference p-values for regression estimates in experiments. | ssc install randcmd |
|
| ritest Stata |
2020-05-21 | General randomization inference and permutation tests for any estimator. | ssc install ritest |
Multiple comparisons and indices
Related guides: Multiple Comparisons, Indices
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| multcomp R |
2026-08-21 | Simultaneous tests and intervals for many contrasts, e.g., multi-arm trials. | install.packages("multcomp") |
Learning Days |
Heterogeneous effects and generalizing to other populations
Related guides: Heterogeneous Treatment Effects, External Validity
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| bartCause R |
2025-12-11 | BART estimates of average and subgroup treatment effects. | install.packages("bartCause") |
|
| grf R |
2026-03-04 | Causal forests estimate how treatment effects vary across units. | install.packages("grf") |
|
| hettx R |
2026-02-24 | Tests whether treatment effects vary and measures explained variation in experiments. | install.packages("hettx") |
EGAP author: Feller |
| interflex R |
2026-09-21 | Diagnoses and estimates how treatment effects vary with a moderator. | install.packages("interflex") |
EGAP author: Hainmueller |
| tidyhte R |
2025-07-29 | Machine-learning estimates of heterogeneous effects in experiments. | install.packages("tidyhte") |
EGAP author: Dimmery |
Noncompliance and the local average treatment effect
Related guides: Local Average Treatment Effect
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| AER R |
2026-07-11 | Data and functions from Applied Econometrics with R, including ivreg() for two-stage least squares with random assignment as the instrument. | install.packages("AER") |
Guide: Local Average Treatment Effect Learning Days |
| bpbounds R |
2026-07-13 | Nonparametric bounds on effects under imperfect compliance with randomized instrument. | install.packages("bpbounds") |
|
| ivdesc R |
2025-07-22 | Describes covariates of compliers, never-takers, and always-takers. | install.packages("ivdesc") |
|
| ivreg R |
2026-07-10 | Two-stage least squares, e.g., complier effects using random assignment as instrument. | install.packages("ivreg") |
|
| powerLATE R |
2024-05-29 | Power calculations when estimating the LATE under noncompliance. | install.packages("powerLATE") |
Guide: Local Average Treatment Effect |
| ThreeGroups R |
2015-09-10 | Estimates effects in placebo-controlled experiments with noncompliance | install.packages("ThreeGroups") |
|
| ivdesc Stata |
2021-03-19 | Describes characteristics of compliers and noncompliers in IV analyses. | ssc install ivdesc |
Missing data and attrition
Related guides: Missing Data
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| attrition R |
2026-09-18 | Bounds and double sampling for attrition in randomized experiments. | install.packages("attrition") |
Guide: Missing Data EGAP author: Coppock, Gerber, Green |
| mice R |
2025-12-10 | Multiple imputation of missing covariates and outcomes by chained equations. | install.packages("mice") |
|
| attregtest Stata |
2025-05-08 | Regression-based tests for differential attrition in experiments. | ssc install attregtest |
Spillovers
Related guides: Spillovers
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| interference R |
Design-based estimation of spillover effects in experiments. | remotes::install_github("szonszein/interference") |
EGAP author: Samii, Aronow | |
| RCT2 R |
2022-10-18 | Design and analysis of two-stage experiments with spillover effects. | install.packages("RCT2") |
EGAP author: Imai |
| SpatialEffect R |
Design-based inference for spatial spillover effects in experiments. | remotes::install_github("YeWang1576/SpatialEffectPackage/SpatialEffect") |
EGAP author: Samii |
Mechanisms and mediation
Related guides: Mechanisms
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| CausalQueries R |
2026-09-01 | Bayesian causal models for questions about effects and mechanisms, from experimental or observational data. | install.packages("CausalQueries") |
Learning Days EGAP author: Cooper, Humphreys, Medina |
| DirectEffects R |
2024-10-04 | Controlled direct effects by sequential g-estimation for mechanisms. | install.packages("DirectEffects") |
|
| mediation R |
2025-06-07 | Causal mediation analysis with sensitivity analysis. | install.packages("mediation") |
EGAP author: Yamamoto, Imai |
| paramed Stata |
2013-04-26 | Causal mediation analysis with parametric regression models. | ssc install paramed |
Measurement and data collection
Special survey designs: list experiments, randomized response, conjoint, endorsement
Related guides: Survey Experiments
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| cjoint R |
2026-05-19 | Estimates average marginal component effects in conjoint experiments. | install.packages("cjoint") |
EGAP author: Hainmueller, Yamamoto |
| endorse R |
2022-05-02 | Analyzes endorsement experiments measuring support for sensitive political actors. | install.packages("endorse") |
EGAP author: Imai |
| list R |
2024-01-10 | Analyzes list experiments for sensitive questions. | install.packages("list") |
EGAP author: Blair, Imai, Coppock |
| rr R |
2024-01-16 | Analysis and power for randomized response survey items. | install.packages("rr") |
EGAP author: Blair, Zhou, Imai |
| conjoint Stata |
2021-05-24 | Analyzes and plots results of conjoint survey experiments. | ssc install conjoint |
Measurement
Related guides: Measurement in Experiments, Indices
Field work and data management
Related guides: Survey Implementation, Project Workflow, Survey Design
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| iefieldkit Stata |
2023-08-02 | World Bank DIME tools for survey data quality checks during fieldwork. | ssc install iefieldkit |
|
| ietoolkit Stata |
2026-03-31 | World Bank DIME commands for evaluation workflow, including balance tables. | ssc install ietoolkit |
Combining studies
Meta-analysis
Related guides: Conducting a Meta-Analysis
Observational designs
These packages implement the strategies for observational data that the guide 10 Strategies for Figuring out whether X Causes Y describes.
Matching and weighting
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| AIPW R |
2026-04-12 | Doubly robust weighted estimates of average effects using machine learning. | install.packages("AIPW") |
|
| CBPS R |
2025-12-01 | Propensity scores estimated to maximize covariate balance. | install.packages("CBPS") |
EGAP author: Imai, Hazlett |
| cem R |
2022-09-08 | Coarsened exact matching for observational data. | install.packages("cem") |
|
| designmatch R |
2026-02-20 | Optimization matching for balanced samples, also pairing units before randomization. | install.packages("designmatch") |
|
| ebal R |
2026-04-29 | Entropy balancing weights make control group match treated covariate moments. | install.packages("ebal") |
EGAP author: Hainmueller |
| Matching R |
2024-10-14 | Propensity score and genetic matching with balance diagnostics. | install.packages("Matching") |
EGAP author: Sekhon |
| MatchIt R |
2026-09-26 | Matching on covariates or propensity scores to build comparable groups. | install.packages("MatchIt") |
EGAP author: Imai |
| optmatch R |
2024-09-19 | Optimal pair and full matching of treated and control units | install.packages("optmatch") |
|
| PSweight R |
2025-07-22 | Propensity score weighting, including overlap weights, for causal effects. | install.packages("PSweight") |
|
| twang R |
2025-12-23 | Propensity score and nonresponse weighting with boosting, plus balance diagnostics | install.packages("twang") |
|
| WeightIt R |
2026-09-30 | Balancing weights for observational studies with many methods and diagnostics | install.packages("WeightIt") |
|
| cem Stata |
2020-02-15 | Coarsened exact matching for observational comparisons. | ssc install cem |
|
| ebalance Stata |
2026-05-03 | Entropy balancing weights to equate covariates across groups. | ssc install ebalance |
EGAP author: Hainmueller |
| kmatch Stata |
2020-09-19 | Matching, entropy balancing, and weighting in one command. | ssc install kmatch |
|
| psmatch2 Stata |
2018-02-01 | Propensity score and Mahalanobis matching with common support and balance checks. | ssc install psmatch2 |
Before/after comparisons, difference-in-differences, and synthetic control
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| augsynth R |
Augmented synthetic control for policy evaluations with panel data. | remotes::install_github("ebenmichael/augsynth") |
||
| bacondecomp R |
2020-01-24 | Decomposes two-way fixed effects difference-in-differences with staggered timing. | install.packages("bacondecomp") |
|
| CausalImpact R |
2025-09-26 | Estimates an intervention’s effect on a time series against a modeled counterfactual. | install.packages("CausalImpact") |
|
| did R |
2026-07-08 | Difference-in-differences with multiple periods and staggered treatment timing. | install.packages("did") |
|
| did2s R |
2026-03-05 | Two-stage difference-in-differences and event studies with staggered timing. | install.packages("did2s") |
|
| DIDmultiplegt R |
2026-02-17 | Difference-in-differences with staggered treatment across groups and periods. | install.packages("DIDmultiplegt") |
|
| etwfe R |
2026-03-23 | Extended two-way fixed effects for staggered difference-in-differences. | install.packages("etwfe") |
|
| eventstudyr R |
2026-10-01 | Estimates and plots linear panel event studies with pre-trend tests. | install.packages("eventstudyr") |
|
| gsynth R |
2026-03-27 | Generalized synthetic control for multiple treated units and staggered timing. | install.packages("gsynth") |
|
| PanelMatch R |
2026-10-01 | Matching for panel data, generalizing difference-in-differences. | install.packages("PanelMatch") |
EGAP author: Imai |
| scpi R |
2026-06-10 | Synthetic control estimation with prediction intervals. | install.packages("scpi") |
EGAP author: Titiunik |
| Synth R |
2026-04-29 | Synthetic control method for comparative case studies. | install.packages("Synth") |
EGAP author: Hainmueller |
| synthdid R |
Synthetic difference-in-differences estimates of effects in panel data. | remotes::install_github("synth-inference/synthdid") |
||
| tidysynth R |
2025-03-24 | Synthetic control with tools to inspect and visualize the fit | install.packages("tidysynth") |
|
| bacondecomp Stata |
2022-09-21 | Decomposes two-way fixed effects difference-in-differences into its component comparisons. | ssc install bacondecomp |
|
| csdid Stata |
2025-10-05 | Callaway-Sant’Anna difference-in-differences with multiple periods and staggered adoption. | ssc install csdid |
|
| did_imputation Stata |
2023-11-22 | Imputation estimator and pre-trend tests for staggered event studies. | ssc install did_imputation |
|
| did_multiplegt Stata |
2024-07-19 | Heterogeneity-robust difference-in-differences with multiple groups and periods. | ssc install did_multiplegt |
|
| honestdid Stata |
2024-03-22 | Sensitivity analysis for violations of parallel trends. | ssc install honestdid |
|
| sdid Stata |
2026-06-17 | Synthetic difference-in-differences estimation, inference, and plots. | ssc install sdid |
|
| synth Stata |
2026-04-30 | Standard synthetic control method for comparative case studies. | ssc install synth |
EGAP author: Hainmueller |
| twowayfeweights Stata |
2024-06-13 | Diagnoses negative weights in two-way fixed effects difference-in-differences. | ssc install twowayfeweights |
|
| xtevent Stata |
2024-07-12 | Estimates and plots panel event-study models. | ssc install xtevent |
|
| scpi_pkg Python |
2026-06-02 | Synthetic control estimates with prediction intervals for uncertainty. | pip install scpi_pkg |
EGAP author: Titiunik |
Instrumental variables
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| ivDiag R |
2023-09-17 | IV diagnostics: effective F, Anderson-Rubin test, bootstrapped intervals. | install.packages("ivDiag") |
|
| ivmodel R |
2023-04-09 | IV estimation with weak-instrument tests, sensitivity analysis, and power. | install.packages("ivmodel") |
|
| ivreg2 Stata |
2024-08-14 | Standard IV and 2SLS estimation with weak-instrument diagnostics and robust errors. | ssc install ivreg2 |
|
| weakiv Stata |
2016-10-18 | Weak-instrument-robust tests and confidence intervals for IV models. | ssc install weakiv |
Regression discontinuity
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| rdrobust R |
2026-10-07 | Standard estimation and robust inference for regression discontinuity designs. | install.packages("rdrobust") |
EGAP author: Titiunik |
| rdlocrand Stata |
Local randomization inference for regression discontinuity designs. | net install rdlocrand, from("https://raw.githubusercontent.com/rdpackages/rdlocrand/master/stata") |
EGAP author: Titiunik | |
| rdrobust Stata |
2026-08-02 | Standard local polynomial estimation and inference for regression discontinuity. | ssc install rdrobust |
EGAP author: Titiunik |
| rdrobust Python |
2026-10-07 | Standard local polynomial estimation and inference for regression discontinuity designs. | pip install rdrobust |
EGAP author: Titiunik |
Sensitivity to unmeasured confounding
| Package | Latest release | What it does | Install | Notes |
|---|---|---|---|---|
| causalsens R |
2024-03-18 | Sensitivity analysis of estimates to unmeasured confounding. | install.packages("causalsens") |
|
| EValue R |
2025-08-28 | E-values: how strong unmeasured confounding must be to explain an estimate. | install.packages("EValue") |
|
| rbounds R |
2022-04-29 | Rosenbaum bounds sensitivity analysis for unmeasured confounding. | install.packages("rbounds") |
|
| sensemakr R |
2024-07-22 | Sensitivity of regression estimates to omitted confounders. | install.packages("sensemakr") |
EGAP author: Hazlett |
| konfound Stata |
2025-11-19 | Quantifies how much unmeasured confounding would overturn an inference. | ssc install konfound |
|
| rbounds Stata |
2004-03-25 | Rosenbaum sensitivity analysis for hidden bias after matching. | ssc install rbounds |
|
| sensemakr Stata |
2020-04-28 | Sensitivity of regression estimates to unmeasured confounding. | ssc install sensemakr |
EGAP author: Hazlett |