BMEmapping 2.0.0

BMEmapping 2.0.0 (2026-07)

Major Features

• Quantile-Based BME (QBME) Integration: Added full pipeline support for the parameter-free QBME interpolation engine via q_bme_predict(), q_bme_predict_ci(), q_bme_cv(), and q_prob_zk().
• Native S3 Plotting Architecture: Extended the base S3 plot() and summary() methods to accept prediction, cross-validation, and density collection objects directly, enabling continuous surface and uncertainty field mapping.

Minor Improvements & Bug Fixes

• Explicitly namespaced base statistical functions (stats::approx(), stats::density()) to eliminate namespace collision warnings during package check.
• Replaced direct unquoted column selection in ggplot2 internal aesthetics with the rlang::.data pronoun wrapper to prevent unbound global variable flags.
• Pruned obsolete package dependencies (utils) from the Imports profile in the DESCRIPTION namespace to satisfy tidy deployment standards.
• Fixed an issue in R Markdown compilation where raw LaTeX \url{} expressions failed to generate clean hyperlinks across HTML and docx output engines.

BMEmapping 1.2.2

• Fixed minor namespace exports and structural input validations for the Classical BME pipeline.

BMEmapping 1.2.0

• Optimization of the integration windows during continuous spatial probability support profiling.

BMEmapping 1.0.0

• Stable baseline release of the classical BME interpolation suite.

BMEmapping 0.3.0

Major Features

• Extended the internal integration zk_range window bounds by 20% to prevent density truncations and provide more robust non-Gaussian localized support estimates.
• Re-engineered covariance matrix construction functions to structurally preserve spatial continuity signatures under heavy nugget-effect penalties.

Minor Improvements & Bug Fixes

• Flattened multi-dimensional distance arrays to eliminate intensive Kronecker-product tensor operations, generating massive execution speedups during global coordinate matrix evaluations.
• Tightened input sanitization checks to reject inconsistent dimensions or incomplete spatial objects prior to entropy maximization.
• Refined standard logging profiles to provide clear error messages for degenerate data or ill-conditioned covariance structures.

BMEmapping 0.2.0

• Refined input validation pipelines and expanded warning triggers for singular matrices.

BMEmapping 0.1.0

Major Features

• Initial core release providing full computational framework support for Bayesian Maximum Entropy spatial interpolation across hard observations and soft-interval data domains.

Minor Improvements & Bug Fixes

• Initial CRAN-ready codebase structures.
• Implemented clean custom printing and tabular text summary methods for BME model class assignments.
• Restructured package boundaries to streamline the package vignette footprint and drop bloated optional dependencies.
• Added Dr. Yan Sun as package author.
• Hardened internal numerical stability tolerances during matrix decompressions and localized density profiling.