Predicts gam output. Primarily an internal tool, used in plot_seasonal_gam_panels.R.
Usage
predict_gam(
model,
plot_by = "doy",
across_increment = 1,
quant_trimming = 0.01,
verbose = TRUE
)Arguments
- model
A GAM model object from mgcv, or a named list of fitted mgcv models
- plot_by
A single string specifying the variable to plot across. Defaults to "doy".
- across_increment
A numeric value specifying the increment for the plot_by variable. Defaults to 1.
- quant_trimming
A numeric value between 0 and 1 defining quantile-based trimming – this provides a buffer between the outmost observations and the outmost plot predictions. Defaults to 0.01; increase if plot predictions at the edges are misleading.
- verbose
Provide context? Logical, defaults to TRUE