.scale_fill_viridis_discrete

Scale Fill for Viridis Discrete Data
Scale Fill for Viridis Discrete Data

internal

Provides tools for Bayesian power analysis and assurance calculations using the statistical frameworks of 'brms' and 'INLA'. Includes simulation-based approaches, support for multiple decision rules (direction, threshold, ROPE), sequential designs, and visualisation helpers. Methods are based on Kruschke (2014, ISBN:9780124058880) "Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan", O'Hagan & Stevens (2001) <doi:10.1177/0272989X0102100307> "Bayesian Assessment of Sample Size for Clinical Trials of Cost-Effectiveness", Kruschke (2018) <doi:10.1177/2515245918771304> "Rejecting or Accepting Parameter Values in Bayesian Estimation", Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x> "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations", and Bürkner (2017) <doi:10.18637/jss.v080.i01> "brms: An R Package for Bayesian Multilevel Models using Stan".

Tony Myers

powerbrmsINLA

Bayesian Power Analysis Using 'brms' and 'INLA'

.scale_fill_viridis_discrete function

<dl><dt>name</dt>
<dd>Character legend title (default "Assurance")</dd></dl>

Arguments

Scale Fill for Viridis Discrete Data — .scale_fill_viridis_discrete

<dl>

<dt>name</dt>
<dd>Character legend title (default "Assurance")</dd>

</dl>

.scale_fill_viridis_discrete: Scale Fill for Viridis Discrete Data

Description

Usage

Value

Arguments