Amelia - A Program for Missing Data

A tool that "multiply imputes" missing data in a single cross-section (such as a survey), from a time series (like variables collected for each year in a country), or from a time-series-cross-sectional data set (such as collected by years for each of several countries). Amelia II implements our bootstrapping-based algorithm that gives essentially the same answers as the standard IP or EMis approaches, is usually considerably faster than existing approaches and can handle many more variables. Unlike Amelia I and other statistically rigorous imputation software, it virtually never crashes (but please let us know if you find to the contrary!). The program also generalizes existing approaches by allowing for trends in time series across observations within a cross-sectional unit, as well as priors that allow experts to incorporate beliefs they have about the values of missing cells in their data. Amelia II also includes useful diagnostics of the fit of multiple imputation models. The program works from the R command line or via a graphical user interface that does not require users to know R.

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openblascpp

9.21 score 1 stars 13 dependents 1.7k scripts 12k downloads

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>.

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5.56 score 19 stars 19 scripts 356 downloads

causalsens - Selection Bias Approach to Sensitivity Analysis for Causal Effects

The causalsens package provides functions to perform sensitivity analyses and to study how various assumptions about selection bias affects estimates of causal effects.

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4.98 score 12 stars 16 scripts 216 downloads

inters - Flexible Tools for Estimating Interactions

A set of functions to estimate interactions flexibly in the face of possibly many controls. Implements the procedures described in Blackwell and Olson (2022) <doi:10.1017/pan.2021.19>.

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4.85 score 14 stars 3 scripts 172 downloads

prepost - Non-Parametric Bounds and Gibbs Sampler for Assessing Priming and Post-Treatment Bias

A set of tools to implement the non-parametric bounds and Bayesian methods for assessing post-treatment bias developed in Blackwell et al (2025) <doi:10.1017/pan.2025.3>

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4.30 score 2 stars 4 scripts 117 downloads

factiv - Instrumental Variables Estimation for 2^k Factorial Experiments

Implements instrumental variable estimators for 2^K factorial experiments with noncompliance.

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4.30 score 4 stars 6 scripts 217 downloads