model.update: Update GAM models

In CICI: Causal Inference with Continuous (Multiple Time Point) Interventions

Update GAM models

Description

A wrapper to simplify the update of GAM models

Usage

model.update(gam.object, form)

Arguments

gam.object	A gam object produced with package mgcv.
form	A new model formula in the form .~formula

Details

The gam object needs to be fitted with the option control=list(keepData=T), otherwise the function can not access the data that is needed to update the model fit. Note that both fit.updated.formulas and make.model.formulas with option evaluate=T produce results that are based on this option.

Value

An object of class ‘gam’, ‘glm’ and ‘lm’.

Examples

data(EFV)

m <- make.model.formulas(X=EFV,
                         Lnodes  = c("adherence.1","weight.1",
                                     "adherence.2","weight.2",
                                     "adherence.3","weight.3",
                                     "adherence.4","weight.4"
                         ),
                         Ynodes  = c("VL.0","VL.1","VL.2","VL.3","VL.4"),
                         Anodes  = c("efv.0","efv.1","efv.2","efv.3","efv.4"),
                         evaluate=TRUE) # set TRUE for model.update()

# update first confounder model of weight manually
model.update(m$fitted.models$fitted.L$m_weight.1, .~s(weight.0, by=sex))

# manual update of model formula
m$model.names$Lnames[2] <- "weight.1 ~ s(weight.0, by=sex)" 

CICI documentation built on June 8, 2025, 11:01 a.m.