R: Causal Inference with Continuous (Multiple Time Point) Interventions

# Causal Inference with Continuous (Multiple Time Point) Interventions

## Documentation for package ‘CICI’ version 1.0

- DESCRIPTION file.

## Help Pages

calc.weights | Calculate outcome weights to address positivity violations
CICI | Causal Inference with Continuous (Multiple Time Point) Interventions
contrast | Counterfactual contrasts from the parametric or sequential g-formula
custom.measure | Custom estimands after applying 'gformula'
EFV | Pharmacoepidemiological HIV treatment data
EFVbin | Pharmacoepidemiological HIV treatment data
EFVfull | Pharmacoepidemiological HIV treatment data
feasible | Estimate Feasible Intervention Strategies
fit.updated.formulas | Fit models after screening
gformula | Parametric g-formula for continuous multiple time point interventions
make.model.formulas | Compose appropriate model formulas
mi.boot | Obtaining estimates from multiply imputed data
model.formulas.update | Update model formulas based on variable screening
model.update | Update GAM models
msm | Marginal structural model
plot.feasible | Plot Method for 'feasible' objects
plot.gformula | Plot dose-response curves
print.feasible | Print method for 'feasible' objects
sgf | Sequential g-formula for continuous multiple time point interventions
summary.feasible | Summarize a 'feasible' object