NEWS
dynasimR 0.1.1
- Verify staged figure output before reporting success or replacing an existing
file. Preserve prior exports on device failure, and enable the shared macOS
XQuartz setup for SVG checks. Refuse failed SVG initialization before drawing
on the caller's device or opening a default output file.
- Validate each input file and preserve caller-supplied scenario metadata.
Report zero-demand ratios as undefined, correct stage completion counts,
and distinguish descriptive percentiles from confidence intervals.
- Correct signed policy narratives, bootstrap intervals and pooled effect
sizes; reject invalid survival observations and missing model predictors.
- Preserve source manuscripts and existing outputs, treat identifiers as
literal data, and validate requested placeholders before writing.
- Repair dashboard selection and profile handling, literal-text rendering,
figure formats and LaTeX table compilation.
- Add actual survival risk tables, current ggplot2 interval geometry, portable
developer checks and reproducible regression coverage.
- Clarify development/publication status; no new release has been published.
dynasimR 0.1.0
- Standardize the named v5 package logo across README, documentation pages
and available application headers, with matching light and dark artwork.
Initial release.
Features
- Load and validate simulation outputs for two interchangeable
profiles via
read_simulation() / load_example_data().
- Time-to-event analysis with
km_estimate(), cox_model(),
plot_km(), plot_forest().
- Policy-effect quantification via
policy_effect() with
auto-generated LaTeX-ready narrative.
- Autonomy-level trade-off analysis via
al_efficiency() and
plot_al_tradeoff().
- Compliance Index via
compute_compliance_index() with bootstrap
confidence intervals.
- Profile B helpers:
progress_trajectory(),
compute_wait_gap_index(), group_effect(),
spatial_supply_demand(), compute_completion_analysis().
- Manuscript export:
export_figure(), export_latex_table(),
fill_placeholders() (publisher-template compatible).
- Embedded Shiny dashboard via
launch_app().
- Example data shipped for reproducible demos and tests.