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OptimalDesign (version 1.0.2.1)

A Toolbox for Computing Efficient Designs of Experiments

Description

Algorithms for D-, A-, I-, and c-optimal designs. Some of the functions in this package require the 'gurobi' software and its accompanying R package. For their installation, please follow the instructions at and the file gurobi_inst.txt, respectively.

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Version

Install

install.packages('OptimalDesign')

Monthly Downloads

334

Version

1.0.2.1

License

GPL-3

Maintainer

Lenka Filova

Last Published

April 26th, 2025

Functions in OptimalDesign (1.0.2.1)

Criterion value of a design

Symmetrization of an approximate design

Efficient exact design using the RC heuristic

Optimal approximate size-constrained design

Vector of variances

Lower bound on efficiency

Compact information about a design

Pool of a vector

Visualization of a design

Matrix of candidate regressors for a regression model on a simplex grid

Matrix of candidate regressors for a survival model

Transformation of candidate regressors for I-optimality

OptimalDesign-internal

Internal OptimalDesign Functions

Transformation of candidate regressors for regularized c-optimality

Matrix of candidate regressors for a generalized linear model

Matrix of candidate regressors for a dose-response model

Matrix of candidate regressors for a block size-two model

Matrix of candidate regressors for a model on a cuboid grid

Vector of directional derivatives

Optimal exact design using mixed integer second-order cone programming

Efficient rounding of an approximate design

OptimalDesign-package

Efficient saturated exact design

Efficient exact design using a quadratic approximation

Information matrix of a design

The KL exchange algorithm for efficient exact designs

Removal of redundant design points

Minimum-volume enclosing ellipsoid