plot {bayesGAM} | R Documentation |
Additional plotting for MCMC visualization and diagnostics.
Description
Marginal response smooth plot functions for parametric and nonparametric associations.
Usage
## S4 method for signature 'bayesGAMfit,missing'
plot(x, y, applylink = TRUE, ...)
## S4 method for signature 'predictPlotObject,missing'
plot(x, y, ...)
## S4 method for signature 'posteriorPredictObject,missing'
plot(x, y, ...)
Arguments
x |
an object of class |
y |
unused |
applylink |
logical to indicate whether the inverse link function should be applied to the plots |
... |
optional additional arguments to pass to the |
Value
A list of univariate and bivariate plots generated by plot functions based on ggplot2
References
H. Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016.
See Also
Examples
f <- bayesGAM(weight ~ np(height), data = women,
family = gaussian, iter=500, chains = 1)
plot(f)
[Package bayesGAM version 0.0.2 Index]