efficient_round

Takes an approximate design, and a number of points and converts the design to
an approximate design. It uses the multiplier (n - l/2) and evens the total
number of observations afterwards.

Calculates D-, Ds-, A-, I- and L-optimal designs for non-linear models, via an implementation of the cocktail algorithm (Yu, 2011, <doi:10.1007/s11222-010-9183-2>). Compares designs via their efficiency, and augments any design with a controlled efficiency. An efficient rounding function has been provided to transform approximate designs to exact designs.

Carlos de la Calle-Arroyo

optedr

Calculating Optimal and D-Augmented Designs

Jesús López-Fidalgo

Licesio J. Rodríguez-Aragón

efficient_round function

<dl><dt>design</dt>
<dd>a dataframe with columns "Point" and "Weight" that represents a design</dd>
<dt>n</dt>
<dd>an integer that represents the desired number of observations of the exact design</dd>
<dt>tol</dt>
<dd>optional parameter for the consideration of an integer in the rounding process</dd></dl>

Arguments

Efficient Round — efficient_round

<dl>

<dt>design</dt>
<dd>a dataframe with columns "Point" and "Weight" that represents a design</dd>


<dt>n</dt>
<dd>an integer that represents the desired number of observations of the exact design</dd>


<dt>tol</dt>
<dd>optional parameter for the consideration of an integer in the rounding process</dd>

</dl>

efficient_round: Efficient Round

Description

Usage

Value

Arguments

Examples