# Causal Analysis of Observational Time-to-Event Data

## Documentation for package ‘TrialEmulation’ version 0.0.4.11

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

calculate_weights | Calculate Inverse Probability of Censoring Weights
calculate_weights-method | Calculate Inverse Probability of Censoring Weights
case_control_sampling_trials | Case-control sampling of expanded data for the sequence of emulated trials
data_censored | Example of longitudinal data for sequential trial emulation containing censoring
data_preparation | Prepare data for the sequence of emulated target trials
expand_trials | Expand trials
fit_msm | Fit the marginal structural model for the sequence of emulated trials
fit_msm-method | Fit the marginal structural model for the sequence of emulated trials
fit_weights_model | Method for fitting weight models
initiators | A wrapper function to perform data preparation and model fitting in a sequence of emulated target trials
ipw_data | IPW Data Accessor and Setter
ipw_data-method | IPW Data Accessor and Setter
ipw_data<- | IPW Data Accessor and Setter
ipw_data<--method | IPW Data Accessor and Setter
load_expanded_data | Method to read, subset and sample expanded data
load_expanded_data-method | Method to read, subset and sample expanded data
outcome_data | Outcome Data Accessor and Setter
outcome_data-method | Outcome Data Accessor and Setter
outcome_data<- | Outcome Data Accessor and Setter
outcome_data<--method | Outcome Data Accessor and Setter
parsnip_model | Fit outcome models using 'parsnip' models
predict | Predict marginal cumulative incidences with confidence intervals for a target trial population
predict-method | Predict marginal cumulative incidences with confidence intervals for a target trial population
predict.TE_msm | Predict marginal cumulative incidences with confidence intervals for a target trial population
predict_marginal | Predict marginal cumulative incidences with confidence intervals for a target trial population
print.TE_weight_summary | Print a weight summary object
read_expanded_data | Method to read expanded data
read_expanded_data-method | Method to read expanded data
sample_expanded_data | Internal method to sample expanded data
sample_expanded_data-method | Internal method to sample expanded data
save_expanded_data | Method to save expanded data
save_expanded_data-method | Method to save expanded data
save_to_csv | Save expanded data as CSV
save_to_datatable | Save expanded data as a 'data.table'
save_to_duckdb | Save expanded data to 'DuckDB'
set_censor_weight_model | Set censoring weight model
set_censor_weight_model-method | Set censoring weight model
set_data | Set the trial data
set_data-method | Set the trial data
set_expansion_options | Set expansion options
set_expansion_options-method | Set expansion options
set_outcome_model | Specify the outcome model
set_outcome_model-method | Specify the outcome model
set_switch_weight_model | Set switching weight model
set_switch_weight_model-method | Set switching weight model
show_weight_models | Show Weight Model Summaries
stats_glm_logit | Fit outcome models using 'stats::glm'
summary.TE_data_prep | Summary methods
summary.TE_data_prep_dt | Summary methods
summary.TE_data_prep_sep | Summary methods
summary.TE_msm | Summary methods
summary.TE_robust | Summary methods
te_data-class | TrialEmulation Data Class
te_datastore-class | te_datastore
te_data_ex | Example of a prepared data object
te_model_ex | Example of a fitted marginal structural model object
te_model_fitter-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
trial_example | Example of longitudinal data for sequential trial emulation
trial_msm | Fit the marginal structural model for the sequence of emulated trials
trial_sequence | Create a sequence of emulated target trials object
trial_sequence-class | Trial Sequence class
trial_sequence_AT-class | Trial Sequence class
trial_sequence_ITT-class | Trial Sequence class
trial_sequence_PP-class | Trial Sequence class
vignette_switch_data | Example of expanded longitudinal data for sequential trial emulation
weight_model_data_indices | Data used in weight model fitting