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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.