The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

fdb 0.2.2

P3 now applies MCP to delta / se_delta, with lambda and gamma defined on that standardized scale. The smooth penalty integrates its slope to (sqrt(delta^2 + eps^2) - eps) / se_delta; eps remains in log-HR units. The transition half-width is rho_mcp * gamma_mcp * lambda in SE units. Both derivative chain factors are included in the raw curvature; negative curvature is still clipped only for the sandwich bread. The optimizer includes transition points and refines all detected local minima for P3.

This is a substantive replacement: recalibrate and reevaluate P3. Previous P3 lambdas, estimates, and result files do not describe this method. Other penalties and the fixed independent censoring design are unchanged. The returned lambda_eff is retained as the origin slope lambda / se_delta; it is no longer the lambda argument supplied to the MCP primitive.

fdb 0.2.1

• Censoring now uses a fixed exponential rate calculated from the internal population distribution, independent of realized replicate event times. Added calibrate_censor_rate() and optional censor_rate. Target zero yields exactly no censoring. Removed the stochastic per-replicate rate search.
• Simulation and calibration pass the resolved fixed rate to every replicate. Existing simulation results and calibrated lambdas must not be mixed with results from this revised generator.
• Fit and simulation method labels now match the manuscript. Short calibration API keys Li/P1/P2/P3/P4 remain supported; method_labels() translates keys and legacy output labels for presentation.

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.

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.

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.