Plot GAM(M) Smoothing Function

Plots the smoothing function of GAM(M) predictors via ggplot2

plot_gam(
  model = NULL,
  pred = NULL,
  col_line = "blue",
  ci_line_col = "black",
  ci_line_type = "dashed",
  ci_fill = "grey",
  ci_alpha = 0.4,
  ci_line_size = 0.8,
  sm_fun_size = 1.1,
  title = NULL,
  xlab = NULL,
  ylab = NULL,
  limits_y = NULL,
  breaks_y = NULL
)

Arguments

model: A fitted model of class gam.
pred: Predictor name.
col_line: Smoothing function line color.
ci_line_col: Confident interval line color.
ci_line_type: Linetype of confidence interval.
ci_fill: Fill color of area between smoothing function and its confidence interval lines.
ci_alpha: Opacity value of confidence interval.
ci_line_size, sm_fun_size: Line sizes.
title: Plot title.
xlab: x-axis title.
ylab: y-axis title.
limits_y: y-axis limits.
breaks_y: y-axis breaks. Values are handed over to a seq call, e.g. seq(-6, 6, 2).

Examples

library(oddsratio)
library(mgcv)
fit_gam <- mgcv::gam(y ~ s(x0) + s(I(x1^2)) + s(x2) + offset(x3) + x4,
  data = data_gam
)

plot_gam(fit_gam, pred = "x2", title = "Predictor 'x2'")

Arguments

See also

Examples