Optimal Design Generation and Power Evaluation in R: The skpr Package
Dublin Core
Title
Optimal Design Generation and Power Evaluation in R: The skpr Package
Subject
design of experiments, optimal design, power, R.
Description
The R package skpr provides a suite of functions to generate and evaluate experimental
designs. Package skpr generates D, I, Alias, A, E, T, and G-optimal designs, and supports
custom user-defined optimality criteria, N-level split-plot designs, mixture designs, and
design augmentation. Also included are a collection of analytic and Monte Carlo power
evaluation functions for normal, non-normal, random effects, and survival models, as well
as tools to plot fraction of design space plots and correlation maps. Additionally, skpr
includes a flexible framework for the user to perform custom power analyses with external
libraries and user-defined functions, as well as a graphical user interface that wraps most
of the functionality of the package in a point-and-click web application.
designs. Package skpr generates D, I, Alias, A, E, T, and G-optimal designs, and supports
custom user-defined optimality criteria, N-level split-plot designs, mixture designs, and
design augmentation. Also included are a collection of analytic and Monte Carlo power
evaluation functions for normal, non-normal, random effects, and survival models, as well
as tools to plot fraction of design space plots and correlation maps. Additionally, skpr
includes a flexible framework for the user to perform custom power analyses with external
libraries and user-defined functions, as well as a graphical user interface that wraps most
of the functionality of the package in a point-and-click web application.
Creator
Tyler Morgan-Wall
Source
https://www.jstatsoft.org/article/view/v099i01
Publisher
Institute for Defense Analyses
Date
August 2021
Contributor
Fajar bagus W
Format
PDF
Language
Inggris
Type
Text
Files
Collection
Citation
Tyler Morgan-Wall, “Optimal Design Generation and Power Evaluation in R: The skpr Package,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/8202.