A Toolbox for Computing Efficient Designs of Experiments
Vector of directional derivatives
Lower bound on efficiency
Matrix of candidate regressors for a block size-two model
Transformation of candidate regressors for regularized c-optimality
Matrix of candidate regressors for a model on a cuboid grid
Matrix of candidate regressors for a dose-response model
Matrix of candidate regressors for a generalized linear model
Transformation of candidate regressors for I-optimality
Matrix of candidate regressors for a regression model on a simplex gri...
Matrix of candidate regressors for a survival model
Information matrix of a design
Minimum-volume enclosing ellipsoid
Efficient exact design using a quadratic approximation
Removal of redundant design points
The KL exchange algorithm for efficient exact designs
Optimal exact design using mixed integer second-order cone programming
Efficient saturated exact design
Visualization of a design
Pool of a vector
Compact information about a design
Efficient rounding of an approximate design
Efficient exact design using the RC heuristic
Optimal approximate size-constrained design
Symmetrization of an approximate design
Criterion value of a design
Internal OptimalDesign Functions
OptimalDesign
Vector of variances
Algorithms for D-, A-, I-, and c-optimal designs. For more details, see the package description. Some of the functions in this package require the 'gurobi' software and its accompanying R package. For their installation, please follow the instructions at <https://www.gurobi.com> and the file gurobi_inst.txt, respectively.