Reference

User Functions
initiators()	A wrapper function to perform data preparation and model fitting in a sequence of emulated target trials
data_preparation()	Prepare data for the sequence of emulated target trials
trial_msm()	Fit the marginal structural model for the sequence of emulated trials
case_control_sampling_trials()	Case-control sampling of expanded data for the sequence of emulated trials
predict(<TE_msm>)	Predict marginal cumulative incidences with confidence intervals for a target trial population
print(<TE_weight_summary>)	Print a weight summary object
summary(<TE_data_prep>) summary(<TE_data_prep_sep>) summary(<TE_data_prep_dt>) summary(<TE_msm>) summary(<TE_robust>)	Summary methods
Data Sets
trial_example	Example of longitudinal data for sequential trial emulation
vignette_switch_data	Example of expanded longitudinal data for sequential trial emulation
te_data_ex	Example of a prepared data object
te_model_ex	Example of a fitted marginal structural model object
data_censored	Example of longitudinal data for sequential trial emulation containing censoring
New Interface Functions Experimental functions for the new interface
trial_sequence()	Create a sequence of emulated target trials object
set_data()	Set the trial data
set_censor_weight_model()	Set censoring weight model
set_switch_weight_model()	Set switching weight model
calculate_weights()	Calculate Inverse Probability of Censoring Weights
show_weight_models()	Show Weight Model Summaries
set_expansion_options()	Set expansion options
set_outcome_model()	Specify the outcome model
expand_trials()	Expand trials
sample_controls()	Method to read, subset and sample expanded data
load_expanded_data()	Method to read, subset and sample expanded data
outcome_data() `outcome_data<-`()	Outcome Data Accessor and Setter
fit_msm()	Fit the marginal structural model for the sequence of emulated trials
Data Storage Control how expanded data is stored
save_to_csv()	Save expanded data as CSV
save_to_duckdb()	Save expanded data to DuckDB
save_to_datatable()	Save expanded data as a data.table
Model fitters
stats_glm_logit()	Fit outcome models using stats::glm
Classes
trial_sequence-class trial_sequence_PP-class trial_sequence_ITT-class trial_sequence_AT-class	Trial Sequence class
te_data-class	TrialEmulation Data Class
te_datastore-class	te_datastore
save_expanded_data(<te_datastore_duckdb>) read_expanded_data(<te_datastore_duckdb>) sample_expanded_data(<te_datastore_duckdb>)	te_datastore_duckdb, functions and methods
te_model_fitter-class te_stats_glm_logit-class	Outcome Model Fitter Class
te_outcome_data-class	TrialEmulation Outcome Data Class
te_outcome_fitted-class	Fitted Outcome Model Object
te_outcome_model-class	Fitted Outcome Model Object
Internal Methods
save_expanded_data()	Method to save expanded data
read_expanded_data()	Method to read expanded data
sample_expanded_data()	Internal method to sample expanded data
fit_weights_model()	Method for fitting weight models