R2: Computes R-squared using Bayesian R-squared approach. For...

In TriDimRegression: Bayesian Statistics for 2D/3D Transformations

Computes R-squared using Bayesian R-squared approach. For detail refer to: Andrew Gelman, Ben Goodrich, Jonah Gabry, and Aki Vehtari (2018). R-squared for Bayesian regression models. The American Statistician, doi:10.1080/00031305.2018.1549100.

Description

Computes R-squared using Bayesian R-squared approach. For detail refer to: Andrew Gelman, Ben Goodrich, Jonah Gabry, and Aki Vehtari (2018). R-squared for Bayesian regression models. The American Statistician, doi:10.1080/00031305.2018.1549100.

Usage

## S3 method for class 'tridim_transformation'
R2(object, summary = TRUE, probs = c(0.055, 0.945), ...)

Arguments

object	An object of class tridim_transformation
summary	Whether summary statistics should be returned instead of raw sample values. Defaults to TRUE
probs	The percentiles used to compute summary, defaults to 89% credible interval.
...	Unused.

Value

vector of values or a data.frame with summary

Examples

euc2 <- fit_transformation(depV1+depV2~indepV1+indepV2,
  NakayaData, transformation = 'euclidean')
R2(euc2)

TriDimRegression documentation built on Sept. 13, 2023, 5:07 p.m.