Declare and Diagnose Research Designs R package DeclareDesign version 1.1.1 Researchers can characterize and learn about the properties of research designs before implementation using `DeclareDesign`. Ex ante declaration and diagnosis of designs can help researchers clarify the strengths and limitations of their designs and to improve their properties, and can help readers evaluate a research strategy prior to implementation and without access to results. It can also make it easier for designs to be shared, replicated, and critiqued. Software Depends: R (>= 4.1.0), randomizr (>= 0.20.0), fabricatr (>= 0.10.0), estimatr (>= 0.20.0) Imports: rlang, generics, methods Suggests: testthat, knitr, rmarkdown, AER, diffobj, dplyr, data.table, tibble, ggplot2, future, future.apply, broom, MASS, Matching, betareg, biglm, gam, sf, reshape2, DesignLibrary, coin, marginaleffects, psych, CausalQueries, rdrobust, rdss Alexander Coppock <acoppock@gmail.com> Comprehensive R Archive Network (CRAN) Graeme Blair [aut] (ORCID: <https://orcid.org/0000-0001-9164-2102>), Jasper Cooper [aut] (ORCID: <https://orcid.org/0000-0002-8639-3188>), Alexander Coppock [aut, cre] (ORCID: <https://orcid.org/0000-0002-5733-2386>), Macartan Humphreys [aut] (ORCID: <https://orcid.org/0000-0001-7029-2326>), Neal Fultz [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=DeclareDesign/LICENSE) 2026-04-28 application/tgz https://CRAN.R-project.org/package=DeclareDesign doi:10.32614/CRAN.package.DeclareDesign