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 |