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.