extractPvalues

Extract p-values from a model object. Currently works with lm, glm, lme4, glmer,
and survreg model objects. If possible, uses the p-values reported in summary(model_fit).
If those do not exist (I'm looking at you, lme4), returns the Wald p-value:
2*pnorm(-abs(estimate / se))

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. For details, see Morgan-Wall et al. (2021) <doi:10.18637/jss.v099.i01>.

Tyler Morgan-Wall

skpr

Design of Experiments Suite: Generate and Evaluate Optimal
Designs

George Khoury

extractPvalues function

<dl><dt>model_fit</dt>
<dd>The model object from which to extract.</dd></dl>

Arguments

Extract p-values from a model object — extractPvalues

<dl>

<dt>model_fit</dt>
<dd>The model object from which to extract.</dd>

</dl>

extractPvalues: Extract p-values from a model object

Description

Usage

Value

Arguments