Package: odr
Type: Package
Title: Optimal Design and Statistical Power of Multilevel Randomized
        Trials
Version: 1.0.0
Date: 2018-10-3
Authors@R: c(person("Zuchao", "Shen", email = "shenzo@mail.uc.edu", role = c("aut", "cre")),
            person("Ben", "Kelcey", role = "aut"))
Description: Calculate the optimal sample allocation that minimizes the variance of
    treatment effect in multilevel randomized trials under fixed budget and cost structure,
    perform power analyses with and without accommodating costs and budget. The references 
    for proposed methods are: 
    (1) Shen, Z. (in progress). Using optimal sample allocation to
    improve statistical precision and design efficiency for multilevel randomized trials.
    (unpublished doctoral dissertation). University of Cincinnati, Cincinnati, OH.
    (2) Shen, Z., & Kelcey, B. (revise & resubmit). 
    Optimal sample allocation accounts for the full variation of sampling costs 
    in cluster-randomized trials.
    Journal of Educational and Behavioral Statistics. 
    (3) Shen, Z., & Kelcey, B. (2018, April). Optimal design of cluster
    randomized trials under condition- and unit-specific cost structures. Roundtable
    discussion presented at American Educational Research Association (AERA)
    annual conference.
    (4) Champely., S. (2018). pwr: Basic functions for power analysis 
    (Version 1.2-2) [Software]. Available from 
    <https://CRAN.R-project.org/package=pwr>.
Depends: R (>= 3.3.0), stats (>= 3.0.0), graphics (>= 3.0.0), base(>=
        3.0.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Suggests: knitr, rmarkdown
VignetteBuilder: rmarkdown, knitr
NeedsCompilation: no
Packaged: 2018-10-03 18:41:34 UTC; ZuchaoShen
Author: Zuchao Shen [aut, cre],
  Ben Kelcey [aut]
Maintainer: Zuchao Shen <shenzo@mail.uc.edu>
Repository: CRAN
Date/Publication: 2018-10-03 21:50:10 UTC
