fdb 0.2.0
- Prepare source for CRAN checks and regenerate help from roxygen
comments.
- Add optional
keep_raw retention to curve and study
workflows.
- Include valid/missing counts and Monte Carlo standard errors in
simulation summaries; keep rows for methods with entirely missing
inference results.
- Stop the study wrapper when calibration fails instead of
substituting 0.20.
- Honor explicit
drift_set_confirm grids. NULL defaults
to the calibration grid. Existing calls with identical
calibration/confirmation grids retain their calibration target; calls
previously passing a different ignored confirmation grid now use that
grid and can produce different tuning.
- Retain coarse candidates in the fine calibration search.
- Default parallel runs to two workers, propagate installed library
paths, clean up failed cluster initialization, and support NULL seeds in
wrappers.
- Document conditional model-based SEs, approximate sandwich
inference, finite-grid calibration, residual undercoverage and signed
ESS gains.
- Penalty formulas and fixed-lambda fitting algorithms are unchanged
by this release-preparation pass. Earlier manuscript changes to P2/P3
still require recomputation of results from the original penalty
definitions.
Manuscript methodology
updates
- Replace P2 drift-times-gate with the manuscript integrated-gate
penalty.
- Smooth the MCP origin and flat-tail transition; expose
rho_mcp (default 0.1) through fitting, calibration and
study workflows.
- Match raw analytic curvature to the fitted penalties; retain
clipping only in the plug-in variance calculation.
- Support no-covariate Cox fits and simulation
(
p = 0).
- Old P2/P3 fits and calibration results require recomputation.
fdb 0.1.0
- Initial release.
- User-facing functions:
simulate_hybrid_cox,
fit_internal_only, fit_naive_pooled,
fit_li_adaptive_lasso, fit_P1_precision_L1,
fit_P2_gated_L1, fit_P3_info_MCP,
fit_P4_LRweighted_L1, fit_all_methods,
fit_one_penalized_method, compute_sandwich_se,
run_simulation, run_drift_curve,
compute_ess_from_raw,
add_ess_to_simulation_result, make_drift_set,
make_drift_set_from_values,
calibrate_lambda_grid,
calibrate_lambda_grid_two_stage,
calibrate_all_lambdas, and run_fdb_study.
- Reference scenario
scenario_S1 and default tuning list
lambdas_default exported for examples and tests.