Package: odr
Type: Package
Title: Optimal Design and Statistical Power for Experimental Studies
        Investigating Main, Mediation, and Moderation Effects
Version: 1.8.3
Date: 2026-2-11
Authors@R: c(person(given = "Zuchao", 
                    family = "Shen", 
                    email = "zuchao.shen@gmail.com", 
                    role = c("aut", "cre"),
                    comment = c(ORCID = "0000-0003-3483-0451")),
            person(given = "Benjamin",
                   family = "Kelcey",
                   role = "aut"))
Description: Calculate the optimal sample size allocation that uses the
        minimum resources to achieve targeted statistical power in
        experiments. Perform power analyses with and without
        accommodating costs and budget. The designs cover single-level
        and multilevel experiments detecting main, mediation, and
        moderation effects (and some combinations). The references for
        the proposed methods include: (1) Shen, Z., & Kelcey, B.
        (2020). Optimal sample allocation under unequal costs in
        cluster-randomized trials. Journal of Educational and
        Behavioral Statistics, 45(4): 446-474.
        <doi:10.3102/1076998620912418>. (2) Shen, Z., & Kelcey, B.
        (2022b). Optimal sample allocation for three-level multisite
        cluster-randomized trials. Journal of Research on Educational
        Effectiveness, 15 (1), 130-150.
        <doi:10.1080/19345747.2021.1953200>. (3) Shen, Z., & Kelcey, B.
        (2022a). Optimal sample allocation in multisite randomized
        trials. The Journal of Experimental Education, 90(3), 693-711.
        <doi:10.1080/00220973.2020.1830361>. (4) Shen, Z., Leite, W.,
        Zhang, H., Quan, J., & Kuang, H. (2025). Using ant colony
        optimization to identify optimal sample allocations in
        cluster-randomized trials. The Journal of Experimental
        Education, 93(1), 167-185. <doi:10.1080/00220973.2024.2306392>.
        (5) Shen, Z., Li, W., & Leite, W. (in press). Statistical power
        and optimal design for randomized controlled trials
        investigating mediation effects. Psychological Methods.
        <doi:10.1037/met0000698>. (6) Champely, S. (2020). pwr: Basic
        functions for power analysis (Version 1.3-0) [Software].
        Available from <https://CRAN.R-project.org/package=pwr>.
Language: en-US
Depends: R (>= 3.3.0), stats (>= 3.0.0), graphics (>= 3.0.0), base(>=
        3.0.0)
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.3
Suggests: rmarkdown, knitr, markdown
VignetteBuilder: rmarkdown, knitr, markdown
Repository: https://zuchaoshen.r-universe.dev
Date/Publication: 2026-02-11 15:54:25 UTC
RemoteUrl: https://github.com/zuchaoshen/odr
RemoteRef: HEAD
RemoteSha: 199820882cfef85e879f0a6e3df1e198d4f71b81
NeedsCompilation: no
Packaged: 2026-10-09 08:35:03 UTC; root
Author: Zuchao Shen [aut, cre] (ORCID: <https://orcid.org/0000-0003-3483-0451>),
  Benjamin Kelcey [aut]
Maintainer: Zuchao Shen <zuchao.shen@gmail.com>