Package: odr
Type: Package
Title: Optimal Design and Statistical Power of Multilevel Randomized
        Trials
Version: 1.0.2
Date: 2020-3-13
Authors@R: c(person("Zuchao", "Shen", email = "zuchao.shen@gmail.com", role = c("aut", "cre")),
            person("Ben", "Kelcey", role = "aut"))
Description: Calculate the optimal sample allocation that produces smallest variance of a 
    treatment effect or the highest statistical power
    for experimental studies under a budget constraint,
    perform power analyses with and without accommodating cost structures of sampling, and calculate
    the relative efficiency between two sample allocations. 
    The references 
    for the proposed methods are: 
    (1) Shen, Z. (2019). Optimal sample allocation in multilevel Experiments.
    (Doctoral dissertation). University of Cincinnati, Cincinnati, OH.
    (2) Shen, Z., & Kelcey, B. (in press). 
    Optimal sample allocation under unequal costs in 
    cluster-randomized trials.
    Journal of Educational and Behavioral Statistics. 
    (3) 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: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: rmarkdown, knitr
NeedsCompilation: no
Packaged: 2020-03-13 05:11:13 UTC; ZuchaoShen
Author: Zuchao Shen [aut, cre],
  Ben Kelcey [aut]
Maintainer: Zuchao Shen <zuchao.shen@gmail.com>
Repository: CRAN
Date/Publication: 2020-03-13 11:30:02 UTC
Built: R 3.6.3; ; 2021-05-12 17:43:21 UTC; windows
