MIRDD-package: MIRDD: Diagnostic Tool by Multiple Imputation for Regression...
In MIRDD: Diagnostic Tool by Multiple Imputation for Regression Discontinuity Designs
MIRDD-package R Documentation
MIRDD: Diagnostic Tool by Multiple Imputation for Regression Discontinuity Designs
Description
This package implements the method proposed in Takahashi (2023), which provides
a novel framework for the regression discontinuity design (RDD) by reinterpreting
the estimation of treatment effects as a missing data problem. While standard RDD
relies on observations near the cutoff, MIRDD utilizes multiple imputation to
account for missing potential outcomes, offering a diagnostic tool to assess
the validity and robustness of RDD estimates.
Details
The main function in this package is MIdiagRDD.
Author(s)
Maintainer: Masayoshi Takahashi mtakahashi615@g.chuo-u.ac.jp (ORCID)
References
Takahashi, M. 2023. Multiple imputation regression discontinuity designs:
Alternative to regression discontinuity designs to estimate the local average
treatment effect at the cutoff. Communications in Statistics - Simulation and
Computation 52 (9): 4293-4312. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/03610918.2021.1960374")}
Takahashi, M. 2026. MIRDD: An R package for multiple imputation regression
discontinuity design. SoftwareX 34(102707): 1-6. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.softx.2026.102707")}
MIRDD documentation built on May 15, 2026, 9:07 a.m.
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| MIRDD-package | R Documentation |
MIRDD: Diagnostic Tool by Multiple Imputation for Regression Discontinuity Designs
Description
This package implements the method proposed in Takahashi (2023), which provides a novel framework for the regression discontinuity design (RDD) by reinterpreting the estimation of treatment effects as a missing data problem. While standard RDD relies on observations near the cutoff, MIRDD utilizes multiple imputation to account for missing potential outcomes, offering a diagnostic tool to assess the validity and robustness of RDD estimates.
Details
The main function in this package is MIdiagRDD.
Author(s)
Maintainer: Masayoshi Takahashi mtakahashi615@g.chuo-u.ac.jp (ORCID)
References
Takahashi, M. 2023. Multiple imputation regression discontinuity designs: Alternative to regression discontinuity designs to estimate the local average treatment effect at the cutoff. Communications in Statistics - Simulation and Computation 52 (9): 4293-4312. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/03610918.2021.1960374")}
Takahashi, M. 2026. MIRDD: An R package for multiple imputation regression discontinuity design. SoftwareX 34(102707): 1-6. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.softx.2026.102707")}
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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