derivatives.galamm: Derivatives of estimated smooth via finite differences

In galamm: Generalized Additive Latent and Mixed Models

Derivatives of estimated smooth via finite differences

Description

This function uses gratia::derivatives to compute derivatives of estimated smooth via finite differences. See gratia::derivatives() for details. When object is not of class galamm, it is forwarded to gratia::derivatives().

Usage

## S3 method for class 'galamm'
derivatives(object, ...)

Arguments

object	An object of class galamm returned from galamm.
...	Other arguments passed on to gratia::derivatives().

Value

A tibble.

See Also

Other details of model fit: VarCorr(), appraise.galamm(), coef.galamm(), confint.galamm(), deviance.galamm(), factor_loadings.galamm(), family.galamm(), fitted.galamm(), fixef(), formula.galamm(), llikAIC(), logLik.galamm(), model.frame.galamm(), nobs.galamm(), predict.galamm(), print.VarCorr.galamm(), ranef.galamm(), residuals.galamm(), response(), sigma.galamm(), vcov.galamm()

Examples

dat <- subset(cognition, domain == 1 & item == "11")
dat$y <- dat$y[, 1]
mod <- galamm(y ~ s(x) + (1 | id), data = dat)

dd <- derivatives(mod)
draw(dd)

galamm documentation built on Dec. 21, 2025, 5:07 p.m.