Tools for Designing, Simulating, and Analyzing Implementation Rollout Trials

Documentation for package ‘rollout’ version 0.1.0

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