bayespmtools 0.0.2

Bug-fix release addressing several issues in the evidence-processing and correlation-induction internals.

• process_evidence(): named native beta parameters (e.g. beta(alpha = 2, beta = 3)) no longer error with “non-numeric argument to binary operator”; parameters supplied by name are now coerced to a numeric vector before use.
• process_evidence(): native probitnorm parameters now produce correct moments (an internal call referenced a mistyped distribution name and returned NULL moments).
• process_evidence(): named native parameters mu/sigma are now accepted for logitnorm and probitnorm; a mix of named and unnamed parameters (e.g. beta(0.4, var = 0.04)) is now rejected as ambiguous rather than silently misread; moment names are standardised to m/v across all specification styles.
• infer_correlation(): fixed matrix indexing that caused the prevalence and mean-calibration columns to be computed from a single value rather than the simulated data, which corrupted the correlation matrix used for correlation induction in bpm_valsamp() and bpm_valprec().
• Calibration specified via the observed-to-expected ratio (cal_oe) now works in both bpm_valsamp() and bpm_valprec(). Previously bpm_valsamp() handled only mean calibration when imputing the calibration intercept, and correlation induction failed for cal_oe evidence because infer_correlation() did not return an O/E column. All three calibration parameterisations (cal_mean, cal_oe, cal_int, each with cal_slp) are now supported by both functions.
• Documentation: expanded process_evidence() to document all supported evidence specification styles (native parameters, moments with a variance or standard deviation, and mean plus upper quantile).
• Added a print() method for bpm_evidence objects (returned by process_evidence()) that displays each component’s distribution, native parameters, and implied mean and variance.
• summary() for bpm_evidence objects now also reports the 95% range (2.5th and 97.5th percentiles) of each evidence component.
• Added package URL and BugReports fields pointing to the GitHub repository.
• Added a testthat test suite covering the moment helpers, performance-metric calculators, evidence processing, and the main entry points.

bayespmtools 0.0.1

• Initial CRAN submission.