gen_poisson_anticoef

<p>input anticipated coefficients of the proper length for your model matrix</p>

anticoef

mean_low

mean_high

<p>Generates Poisson Anticipated Coefficients
Solves the Poisson link function
mean = exp(beta0 + beta1 * x)
such that mean = mean_low when x = -1, and mean = mean_high when x = +1.
Equivalently, solves this set of equations for beta0 and beta1:
mean_low = exp(beta0 - beta1)
mean_high = exp(beta0 + beta1)</p>

internal

Generates and evaluates D, I, A, Alias, E, T, and G optimal designs. Supports generation and evaluation of 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

gen_poisson_anticoef function

Generates Poisson Anticipated Coefficients — gen_poisson_anticoef

Generates Poisson Anticipated Coefficients

gen_poisson_anticoef: Generates Poisson Anticipated Coefficients

Description

Usage

Arguments

Value