How many smooths in a fitted model

How many smooths in a fitted model

Usage

# S3 method for class 'gamm4'
n_smooths(object)

# S3 method for class 'glmmTMB'
n_smooths(object)

n_smooths(object)

# Default S3 method
n_smooths(object)

# S3 method for class 'gam'
n_smooths(object)

# S3 method for class 'gamm'
n_smooths(object)

# S3 method for class 'bam'
n_smooths(object)

Arguments

object

a fitted GAM or related model. Typically the result of a call to mgcv::gam(), mgcv::bam(), or mgcv::gamm().

Details

For glmmTMB models, n_smooths() counts smooth terms across the conditional, zero-inflation and dispersion predictors. Each fitted smooth is counted once; native random effects are excluded. Models without smooths return integer zero.

See also

gamm4_support