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spima 0.2.0

• Distance function fix (v0.2.0): spima_cont_distance changed from relative-difference + SD mixing to inverse-variance weighted Euclidean distance, eliminating systematic bias in the continuous module.
• Mixed-format support: all 5 input formats (mean+SD, median+IQR, median+range, mean+range, five-number summary) can be mixed in a single dataset.
• Forest plot: new forest.spima() S3 method with log_scale and custom label support. Alias spima_forest() works when metafor masks the generic.
• Adaptive particles: smc_control() gains n_particles_max; ABC-SMC doubles particle count when acceptance rate is low.
• Parallel fallback: graceful reversion to sequential when PSOCK cluster fails.
• Precision weights: spima_cont_observed_stats now attaches proper SE-based weights for more accurate distance computation.
• Improved as.data.frame(): new probs parameter for custom posterior quantiles.

spima 0.1.0

• Initial release.
• Meta-analysis via ABC-SMC by simulating pseudo-individual data from published group-level summary statistics.
• Modules: binary, continuous (Gaussian and Gamma, with flexible input formats), generic effect-size, and interaction analysis.
• C++ accelerated simulation and distance computation.

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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