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MOST  

Multiphase Optimization Strategy
View on CRAN: Click here


Download and install MOST package within the R console
Install from CRAN:
install.packages("MOST")

Install from Github:
library("remotes")
install_github("cran/MOST")

Install by package version:
library("remotes")
install_version("MOST", "0.1.2")



Attach the package and use:
library("MOST")
Maintained by
John Dziak
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-09
Latest Update: 2022-06-23
Description:
Provides functions similar to the 'SAS' macros previously provided to accompany Collins, Dziak, and Li (2009) and Dziak, Nahum-Shani, and Collins (2012) , papers which outline practical benefits and challenges of factorial and fractional factorial experiments for scientists interested in developing biological and/or behavioral interventions, especially in the context of the multiphase optimization strategy (see Collins, Kugler & Gwadz 2016) . The package currently contains three functions. First, RelativeCosts1() draws a graph of the relative cost of complete and reduced factorial designs versus other alternatives. Second, RandomAssignmentGenerator() returns a dataframe which contains a list of random numbers that can be used to conveniently assign participants to conditions in an experiment with many conditions. Third, FactorialPowerPlan() estimates the power, detectable effect size, or required sample size of a factorial or fractional factorial experiment, for main effects or interactions, given several possible choices of effect size metric, and allowing pretests and clustering.
How to cite:
John Dziak (2017). MOST: Multiphase Optimization Strategy. R package version 0.1.2, https://cran.r-project.org/web/packages/MOST. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2017-11-09 10:07)
Other packages that cited MOST R package
View MOST citation profile
Other R packages that MOST depends, imports, suggests or enhances
Complete documentation for MOST
Functions, R codes and Examples using the MOST R package
Some associated functions: FactorialPowerPlan . RandomAssignmentGenerator . RelativeCosts1 . 
Some associated R codes: RelativeCosts1.R . factorial_power_plan.R . random_assignment_generator.R .  Full MOST package functions and examples
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