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.