daniel1noble / BACE
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LAST BUILD ON BRANCH main
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coverage: 91.15%. Remained the same
Relevant lines Covered
3740 RELEVANT LINES 3409 COVERED LINES
87.3 HITS PER LINE
Source Files on main

Recent builds

Builds Branch Commit Type Ran Committer Via Coverage
25929232737 main Add smoke/production mode toggle to sim-reference benchmark workflow Wires a workflow_dispatch `mode` input (default: smoke) to the existing BACE_NITT/BURNIN/THIN/RUNS/NFINAL env-var hooks in the evaluator, and passes `1` as the second CLI arg in... push daniel1noble github
91.15
25929072426 main Reference dataset scripts push daniel1noble github
91.15
25907501234 main Udpated ignore push daniel1noble github
91.15
25362969520 main Bump n_final default 10 -> 50; add simulated-benchmark vignette section Why default n_final = 50: with only 10 imputations the empirical [2.5%, 97.5%] quantile of per-cell imputed values is closer to [min, max] of 10 draws than to a true 95% pred... push daniel1noble github
91.15
25341195972 main Add per-level multinomial Pagel-style lambda to phylo_signal_summary For categorical traits, phylo_signal_summary() now reports both: - H2_* trace-based heritability on MCMCglmm's working scale (existing behaviour, ... push daniel1noble github
91.15
25340715961 main sim_bace: scale default sigmas down for non-gaussian variables When response_type is gaussian, default sigma_species = sigma_residual = 1 is innocuous: the response is on a linear scale. For variables passed through a non-linear link (poisson via... push daniel1noble github
91.17
25339511135 main Re-run accuracy benchmark at n_final=50 — coverage now well-calibrated The single-rep "poor coverage" (~0.62 for gaussian) was a benchmark design artifact, not a BACE problem: with n_final=5 the empirical [2.5%, 97.5%] quantile is essentially [mi... push daniel1noble github
91.16
25338302573 main Per-type accuracy benchmark on simulated data with known truth dev/sim_accuracy_benchmark.R: per-type sweep across all 5 BACE response types {gaussian, poisson, binary, K=3 categorical, K=4 ordinal}. For each, simulates 60 species / 120 cases via... push daniel1noble github
91.16
25337507009 main Coverage push v2: 87.76% -> 91.19% (past 90% target, 1251 tests) Two new test files focused on remaining model_functions.R gaps and the parallel/plot-helper paths. - test-pred_cat_threshold.R: direct mock-based unit tests for .pred_cat / .pred... push daniel1noble github
91.16
25336882118 main Coverage push: 80.6% -> 87.76% (1214 tests) Five new test files target previously-uncovered orchestration paths: - test-verbose_orchestration.R: bace()/bace_imp()/bace_final_imp() verbose=TRUE cat() lines + nitt_cat_mult + ovr_categorical=FALS... push daniel1noble github
87.76
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