update_weights: Update weight D-Optimality

In optedr: Calculating Optimal and D-Augmented Designs

Update weight D-Optimality

Description

Implementation of the weight update formula for D-Optimality used to optimize the weights of a design, which is to be applied iteratively until no sizable changes happen.

Usage

update_weights(design, sens, k, delta)

Arguments

design	Design to optimize the weights from. It's a dataframe with two columns: Point contains the support points of the design. Weight contains the corresponding weights of the Points.
sens	Sensibility function for the design and model.
k	Number of parameters of the model.
delta	A parameter of the algorithm that can be tuned. Must be 0< delta < 1.

Value

returns the new weights of the design after one iteration.

optedr documentation built on Nov. 18, 2022, 5:12 p.m.