calculate_gefficiency

RunMatrix

Normalizes the numeric columns in the runmatrix

internal

Generates and evaluates D, I, A, Alias, E, T, and G optimal designs. Supports generation and evaluation of blocked and split/split-split/.../N-split plot designs. Includes parametric and Monte Carlo power evaluation functions, and supports calculating power for censored responses. Provides a framework to evaluate power using functions provided in other packages or written by the user. Includes a Shiny graphical user interface that displays the underlying code used to create and evaluate the design to improve ease-of-use and make analyses more reproducible.

Tyler Morgan-Wall

skpr

Design of Experiments Suite: Generate and Evaluate Optimal
Designs

George Khoury

calculate_gefficiency function

Calculate G Efficiency

Either calculates G-Efficiency by Monte Carlo sampling from the design space (ignoring constraints),
searching for the maximum point (slower but higher quality), or by using a user-specified candidate
set for the design space (fastest). — calculate_gefficiency

Calculate G Efficiency

Either calculates G-Efficiency by Monte Carlo sampling from the design space (ignoring constraints),
searching for the maximum point (slower but higher quality), or by using a user-specified candidate
set for the design space (fastest).

Calculate G EfficiencyEither calculates G-Efficiency by Monte Carlo sampling from the design space (ignoring constraints),
searching for the maximum point (slower but higher quality), or by using a user-specified candidate
set for the design space (fastest).

calculate_gefficiency: Calculate G Efficiency
Either calculates G-Efficiency by Monte Carlo sampling from the design space (ignoring constraints), searching for the maximum point (slower but higher quality), or by using a user-specified candidate set for the design space (fastest).

Description

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