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Rtwalk 2.1.0

Algorithm correctness

• Corrected the Blow-kernel proposal density to include only coordinates selected for movement, matching Christen & Fox (2010).
• Bounded all Metropolis–Hastings acceptance probabilities to [0, 1] and moved their calculation to the log scale for numerical stability.
• Preserved accepted identity proposals from the original t-walk transition kernel while reporting them separately from actual state movements.
• Avoided repeated evaluations of the log posterior, reducing sequential execution to one evaluation per proposal plus the two initial evaluations.

Sampling and parallel execution

• Added reproducible independent random-number streams for parallel chains; set.seed() now controls both sequential and parallel runs.
• Parallel chains now preserve the supplied initial points and support constrained parameter spaces correctly.
• Parallel execution now exports direct and recursively referenced log-posterior dependencies to worker processes.
• Added consistent n_chains and total_iterations metadata in sequential and parallel results.

Output and diagnostics

• Added separate samples and companion_samples trajectories. The legacy all_samples field remains available for compatibility but is not treated as one time-ordered chain.
• Added move_rate and no_move_rate alongside the Metropolis–Hastings acceptance_rate.
• Applied burn-in independently to each parallel chain and computed effective sample sizes without joining chain boundaries.
• Unified sample and burn-in validation across diagnostics and visualization.

Interface and validation

• Added the public show_progress argument. Additional arguments, including an argument named internal_call, are now passed exclusively to log_posterior.
• Added clear validation for iteration counts, chains, cores, initial points, log-posterior return values, burn-in fractions, and parameter names.
• Expanded regression tests for kernel mathematics, parallel reproducibility, constrained supports, dependency export, diagnostics, and edge cases.

Rtwalk 2.0.2

• Added a comprehensive unit test suite using testthat, achieving 100% test coverage.
• Added testthat and covr to Suggested dependencies.

Rtwalk 2.0.1

• Added S3 methods for print() and summary() for t-walk output objects.
• Improved diagnostics reporting and user-facing summaries.
• Minor internal refactoring with no changes to core algorithm behavior.

Rtwalk 2.0.0

• Reintroduced the t-walk MCMC algorithm to CRAN.
• Modernized the codebase to comply with current CRAN policies.
• Updated documentation and examples.
• Ensured compatibility with recent versions of R.

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.
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