plot_1Dsmooth: Plot 1D smooth effects for 'gam' models

In APCtools: Routines for Descriptive and Model-Based APC Analysis

Plot 1D smooth effects for gam models

Description

Plots 1D smooth effects for a GAM model fitted with gam or bam.

Usage

plot_1Dsmooth(
  model,
  plot_ci = TRUE,
  select,
  alpha = 0.05,
  ylim = NULL,
  method_expTransform = "simple",
  return_plotData = FALSE
)

Arguments

model	GAM model fitted with gam or bam.
plot_ci	If TRUE CIs are plotted. Only used if plot_type = 1.
select	Index of smooth term to be plotted.
alpha	(1-alpha) CIs are calculated. The default 0.05 leads to 95% CIs.
ylim	Optional limits of the y-axis.
method_expTransform	One of c("simple","delta"), stating if standard errors and confidence interval limits should be transformed by a simple exp transformation or using the delta method. The delta method can be unstable in situations and lead to negative confidence interval limits. Only used when the model was estimated with a log or logit link.
return_plotData	If TRUE, the dataset prepared for plotting is returned. Defaults to FALSE.

Details

If the model was estimated with a log or logit link, the function automatically performs an exponential transformation of the effect, see argument method_expTransform.

Value

ggplot object

Author(s)

Alexander Bauer [e-mail]

Examples

library(APCtools)
library(mgcv)

data(travel)
model <- gam(mainTrip_distance ~ te(age, period) + residence_region +
             household_size + s(household_income), data = travel)

plot_1Dsmooth(model, select = 2)

APCtools documentation built on Jan. 14, 2023, 1:15 a.m.