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