parameters (version 0.2.0)

model_parameters.gam: Parameters of Generalized Additive (Mixed) Models

Description

Extract and compute indices and measures to describe parameters of generalized additive models (GAM(M)s).

Usage

# S3 method for gam
model_parameters(model, ci = 0.95, bootstrap = FALSE,
  iterations = 1000, ...)

Arguments

model

A gam/gamm model.

ci

Confidence Interval (CI) level. Default to 0.95 (95%).

bootstrap

Should estimates be based on bootstrapped model? If TRUE, then arguments of Bayesian regressions apply (see also parameters_bootstrap()).

iterations

The number of bootstrap replicates. This only apply in the case of bootstrapped frequentist models.

...

Arguments passed to or from other methods (e.g., to standardize()).

Value

A data frame of indices related to the model's parameters.

See Also

standardize_names() to rename columns into a consistent, standardized naming scheme.

Examples

# NOT RUN {
library(parameters)
library(mgcv)

dat <- gamSim(1, n = 400, dist = "normal", scale = 2)
model <- gam(y ~ s(x0) + s(x1) + s(x2) + s(x3), data = dat)
model_parameters(model)
# }