Package index • rollout

All functions

add_binary_outcome(): Create a binary outcome from linear predictors
add_error(): Add an error term for simulation
add_fixed_effect(): Add a fixed effect column for simulation
add_linear_outcome(): Create a linear outcome by summing effects
add_parameter(): Expand a data frame with parameter combinations for simulation
add_poisson_outcome(): Create a Poisson outcome from linear predictors
add_random_effect(): Add a random effect column for simulation
eval_between(): Compute the proportion of values within term-specific intervals within grouped simulation results
eval_bias(): Compute bias relative to term-specific true values within grouped simulation results
eval_greater_than(): Compute the proportion of values above term-specific thresholds within grouped simulation results
eval_less_than(): Compute the proportion of values below term-specific thresholds within grouped simulation results
eval_quantile(): Compute the observed quantile value for each term within grouped simulation results
evaluate_model_results(): Summarise simulation results from extracted model estimates
extract_model_results(): Extract and tidy model results from a column of models
fit_models(): Fit models in parallel across a list-column of datasets
initialize_replicates(): Add replicate identifiers for simulation replicates
join_info(): Join unit-level information to a long-format rollout schedule
pivot_schedule_longer(): Pivot a rollout schedule from wide to long format with local time calculation