R: Tools for Designing, Simulating, and Analyzing Implementation Rollout Trials

# Tools for Designing, Simulating, and Analyzing Implementation Rollout Trials

## Documentation for package ‘rollout’ version 0.1.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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
evaluate_model_results | Summarise simulation results from extracted model estimates
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
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