stepwedgepower 0.1.1

Generalized interface

• Generalized the simulation and power interface from provider/specialty terminology to cluster/sequence terminology.
• Simulated data now carry generic columns (cluster_id, sequence, period, intervention, n, events) alongside the legacy 0.1.0 columns, and run_stepwedge_analysis() accepts either set.
• Added icc_to_cluster_sd() and cluster_sd_to_icc(), and an icc argument as an alternative parameterisation of cluster_sd.

Monte Carlo uncertainty and diagnostics

• estimate_power() and estimate_type1_error() return a stepwedge_power object reporting the estimate, an exact (Clopper-Pearson) Monte Carlo interval, the Monte Carlo standard error, fit-failure rate, and singular-fit rate. The exact interval retains nominal coverage at the boundary, where a Wald interval collapses to zero width.
• Added a print.stepwedge_power() method.

Deprecation handling

• Legacy argument names are retained and mapped to their canonical counterparts. Deprecation warnings are now resolved once per call rather than once per simulated replicate, so a long run emits a single warning instead of one per iteration.
• Supplying both a canonical argument and its deprecated alias (or both cluster_sd and icc) is now an error rather than being resolved silently.
• estimate_type1_error() has an explicit argument list rather than ....

Other

• run_stepwedge_analysis() builds its model formula from column names instead of transform(), avoiding “no visible binding for global variable” notes.
• Updated the package title in response to CRAN feedback.