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OptimalDesign (version 1.0.1)

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

1.0.1

License

GPL-3

Maintainer

Lenka Filova

Last Published

December 2nd, 2019

Functions in OptimalDesign (1.0.1)

Matrix of candidate regressors for a model on a cuboid grid

OptimalDesign-package

Matrix of candidate regressors for a survival model

Matrix of candidate regressors for a generalized linear model

Matrix of candidate regressors for a dose-response model

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

Matrix of candidate regressors for a block size-two model

OptimalDesign-internal

Internal OptimalDesign Functions

Transformation of candidate regressors for regularized c-optimality

Transformation of candidate regressors for I-optimality

Information matrix of a design

Efficient exact design using a quadratic approximation

Efficient saturated exact design

Minimum-volume enclosing ellipsoid

Optimal exact design using mixed integer second-order cone programming

The KL exchange algorithm for efficient exact designs

Symmetrization of an approximate design

Lower bound on efficiency

Vector of directional derivatives

Visualization of a design

Removal of redundant design points

Criterion value of a design

Vector of variances

Efficient rounding of an approximate design

Efficient exact design using the RC heuristic

Compact information about a design

Pool of a vector

Optimal approximate size-constrained design