plot_gam_check: The visualization part of gam.check

In m-clark/visibly: Functions and palettes related to visual enhancement

Description

Residual plots etc.

Usage

plot_gam_check(
  model,
  single_page = TRUE,
  type = "deviance",
  scatter = FALSE,
  kcheck = FALSE
)

Arguments

model	The mgcv gam model
single_page	Plot all on a single page. Requires grid.arrange
type	The type of residuals wanted. Usually one of "deviance", "pearson","scaled.pearson", "working", or "response"., See residuals.gam.
scatter	Whether to plot fitted vs. observed target variable as scatter plot or density. Default is FALSE (density).
kcheck	If you want the slightly less verbose basis dimension (k) checking results. Default is FALSE. When true, only uses the defaults of gam.check. If you need to do more, use mgcv.

Details

Just a single page version of gam.check.

Value

A ggplot that provides visual inspection of residuals and more.

See Also

gam.check

Other model visualization: plot_coefficients.brmsfit(), plot_coefficients.lm(), plot_coefficients.merMod(), plot_coefficients(), plot_gam_2d(), plot_gam_3d(), plot_gam()

Examples

library(mgcv); library(visibly)

d <- gamSim(1, n = 400)

g_fit <- gam(y ~ s(x0) + s(x1) + s(x2) + s(x3), data = d)

plot_gam_check(g_fit)
plot_gam_check(g_fit, scatter=TRUE)

m-clark/visibly documentation built on Oct. 28, 2020, 5:33 p.m.