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bifrost 0.2.0

Changes for existing users

• Indexed predictor terms now require one column each. The previously working trait_data[, 1:2] ~ trait_data[, 3:4] shorthand is rejected. Use trait_data[, 1:2] ~ trait_data[, 3] + trait_data[, 4], or preferably named columns: cbind(y1, y2) ~ x1 + x2. Multiple predictors remain supported.

• Increased the minimum supported R version from 4.1 to 4.2.

• Search defaults are now min_descendant_tips = 10 and shift_acceptance_threshold = 20, matching the focal settings of Berv et al. (2026). These defaults can change search results when arguments are omitted.

• Searches with IC = "BIC" now default to method = "LL". An explicitly supplied method takes precedence; GIC searches retain the mvgls() default.

• Removed plot_ic_acceptance_matrix(). For a bifrost_search or compatible search-result list, use plot(icTrajectory(x)). Legacy callers using a raw two-column matrix_data object can migrate with:

  legacy <- list(
    baseline_ic = baseline_ic,
    IC_used = "GIC",
    model_fit_history = list(ic_acceptance_matrix = matrix_data)
  )
  plot(icTrajectory(legacy))

  Plotting arguments map from plot_title to main, plot_rate_of_improvement to show_delta, and rate_limits to delta_limits. Supply baseline_ic to icTrajectory().

• Vignettes and empirical datasets are now distributed through the package website rather than the CRAN package. Replace former system.file("extdata", ...) paths with bifrost_example_file(). The first uncached request downloads the checksum-verified artifact tracked on GitHub main; subsequent calls use the verified cache unless refresh = TRUE. Installation, attachment, and package examples do not require these downloads.

• runSearchTuningGrid() now pairs simulated datasets across settings in both serial and parallel runs. Separate GIC and BIC calls with matching simulation inputs and seeds are also paired. Previously seeded grid results will change; existing cached results are not replaced. Returned objects record paired_settings and study_seeds.

Search and result inspection

• Fixed a regression in formula normalization that added an intercept to formulas explicitly using 0 + or - 1. Searches now preserve the requested intercept setting for numeric and factor predictors.
• Expanded formula support to accept formula objects, numeric response-only data frames for intercept-only searches, and named-column data-frame formulas for pGLS-style workflows.
• Added icTrajectory() and its plot method for inspecting search histories. Results now record candidate nodes, resolved progress settings, and detailed proposal histories, including accepted, rejected, and errored fits.
• Added persistent, Future-compatible progress displays for candidate scoring, shift evaluation, and IC-weight re-estimation. Use progress = FALSE to disable them independently of verbose output.
• Strengthened validation of descendant-tip cutoffs, shift-acceptance thresholds, and conflicting uncertainty-weight options. Diagnostics flag small clade sizes, low acceptance thresholds, and searches with no eligible candidates. Simulation runs muffle repeated settings advisories while preserving fitting and optimizer warnings.
• Baseline-only results consistently retain regime label "0" and the fitted global BM covariance in VCVs[["0"]]. Covariance summaries no longer issue the proportional multi-regime warning for this single covariance.
• Fixed printing of expression-valued search inputs.

Rates, shifts, and regime covariance

• Added rateMap() and supporting methods for inspecting branch-rate patterns. Legends respect uneven category breaks. generateViridisColorScale() requires numeric input and uses sorted rank rather than numeric distance.
• Added lineage_rates() and tools for summarizing shift nodes, transitions, waiting times, and magnitudes; fitting and bootstrapping rate distributions; and comparing shift magnitudes.
• Added fit_regime_covariances(), fit_regime_covariance_runs(), module diagnostics, correlation-matrix PCA, integration summaries, and regime_integration_pgls() for post-hoc analyses of fitted regimes.
• Covariance validation now uses a tolerance relative to matrix scale, so tiny asymmetric or indefinite matrices cannot pass merely because their entries are small. Valid covariance summaries are unchanged.

Simulation and tuning

• Added reproducible simulation templates, null and shifted datasets, false-positive and shift-recovery studies, recovery evaluation, and fixed-IC tuning grids.
• Added empirical null, proportional-shift, and integration-rate robustness workflows based on fitted residual covariance. Generators default to simulation_generator = "original" to reproduce the published operations; the full-covariance Wishart/spectral generator is available with "empirical".
• Added selectTunedSearchParameters() to filter settings using false-positive and evaluability safeguards and rank feasible settings by fuzzy balanced accuracy by default.
• Tuning recommendations now retain method and error settings inherited from the simulation template. Explicit search overrides remain authoritative; simulation fits, scores, and the selection rule are unchanged.
• Fixed recovery evaluation for successful searches with a NULL shift-node vector. Zero-shift results now contribute missed shifts to strict, fuzzy, and weighted summaries. Saved results can be reassessed without refitting; failed or incomplete records remain excluded.
• Fixed F1 scores incorrectly reported as NA when recovery is zero. Undefined cases retain NA. Corrected the supplementary replicate metrics and their export pipeline; pooled vignette summaries and selected settings are unchanged.
• Reduced data transfer to parallel workers. Parallel search and simulation preserve the caller’s Future plan and reproducible RNG state while avoiding nested worker oversubscription.

Documentation and maintenance

• Added runnable help examples and website guides for rate maps, avian skeleton analyses, simulation, and tuning, with downloadable PDFs and Colab notebooks. Longer help examples use bounded \donttest{} blocks exercised in CI.
• Updated citation metadata for the published Nature Ecology & Evolution article and added a CRAN downloads chart to the README and website.
• Added minimum dependency versions future (>= 1.49.0) and phytools (>= 2.0-3), added plotrix, corrected dependency declarations, and moved website-only dependencies to Config/Needs/website.
• Improved validation and error handling across lineage-rate, regime-integration, simulation, and tuning workflows, and reorganized search internals while preserving existing positional arguments.
• Replaced the fragile method-forwarding test affected by mvMORPH 1.2.2 with balanced examples that check the requested method and a finite GIC. This changes the tests, not the BMM starting-value calculation in mvMORPH.

bifrost 0.1.4

• Documentation / vignettes:
  • Added a new “Quick Start with bifrost” vignette with a minimal end-to-end simulated example.
  • Clarified searchOptimalConfiguration() documentation around acceptable tree inputs, recommended mvgls() methods ("H&L" vs "LL"), and the role of error = TRUE.
  • Reworked the README to foreground installation, documentation, and citation guidance.
  • Added two pkgdown-only background articles on multivariate Brownian motion / shifts and on whole-tree PCA / model-selection issues.
• Citation / metadata:
  • Updated package authorship metadata to reflect the current author list.
  • Updated citation("bifrost") for the live bioRxiv preprint and the application paper.
  • Added the foundational mvMORPH citations to the package citation metadata.
  • Added a formatted citation section and dynamic bioRxiv badge to the README.
• Maintenance:
  • Disabled a deprecated vignette-preview step in GitHub Actions CI.

bifrost 0.1.3

• Addressed CRAN reviewer feedback following review of 0.1.2:
  • Added explicit return-value documentation (@return / \value{}) for the exported print.bifrost_search() method, clarifying that the function returns the input object invisibly and is called for its printing side effects.
• Plotting:
  • plot_ic_acceptance_matrix() gains an optional baseline_ic argument to plot and compute diff(IC) relative to the true no-shift baseline (useful when matrix_data begins at the first evaluated shift model rather than the true baseline).
• Documentation / vignettes:
  • Updated the jaw-shape vignette with additional static figures (evolutionary correlation heatmap, IC-trajectory plot, and branch-rate visualization) and improved plotting annotations.

bifrost 0.1.2

• Addressed CRAN reviewer feedback following review of 0.1.1:
  • plot_ic_acceptance_matrix() now saves and restores the user’s graphical parameters via an immediate on.exit() (prevents leaking par() settings across calls).
• Plotting:
  • Added rate_limits argument to plot_ic_acceptance_matrix() (default c(-400, 150)) to control the secondary y-axis limits for the rate-of-improvement overlay (validated numeric length-2, finite).
• Search results output:
  • Added a bifrost_search S3 class and print.bifrost_search() method for searchOptimalConfiguration() results (compact console summary; optional ASCII IC-history plot via txtplot when store_model_fit_history = TRUE; prints IC weights when present).
  • Print output includes a citation hint (citation("bifrost")); package citation metadata updated in inst/CITATION.
• IC weights / no-shift behavior:
  • Standardized ic_weights output across serial and parallel uncertainty-weight modes; always returns a data.frame with consistent columns, and returns an empty data.frame with the same schema when no shifts are detected.
  • When no shifts are detected, model_no_uncertainty now returns the baseline mvgls model (instead of NULL).
• Documentation / vignettes / tests:
  • Updated jaw-shape vignette chunk printing of ic_weights to avoid RStudio paged/Unicode rendering issues.
  • Expanded and stabilized unit tests and CI configuration (including Config/testthat/parallel: false).

bifrost 0.1.1

• Addressed CRAN reviewer feedback following review of 0.1.0:
  • Replaced all uses of shorthand T/F with TRUE/FALSE.
  • Ensured all informational output is suppressible via message()/warning() and controlled by a verbose flag.
  • Redirected all on-disk output generated during model fitting to tempdir() to comply with CRAN file system policies and avoid writing to the user’s working directory.
  • Ensured graphical parameters and global options are restored using immediate on.exit() calls.
  • Refined parallelization behavior to be CRAN-safe and cross-platform:
    • Parallel candidate evaluation uses future with multicore on Unix outside RStudio and multisession otherwise.
    • BLAS/OpenMP threads are capped to one per worker during parallel execution to avoid CPU oversubscription.
    • Sequential execution remains the default when num_cores = 1.
  • Improved documentation clarity around parallel execution, verbosity, and model fit history storage.

bifrost 0.1.0

• Initial CRAN submission.

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.