selection.index 2.0.1

• Fixed numerical stability in ppg_esim tests where eigen() could return complex values on certain hardware architectures (e.g., macOS ARM64).
• Added automated documentation spell-checking via the spelling package in a dedicated GitHub Actions workflow.
• Expanded the GitHub Actions CI matrix to 17 runners, mirroring all official CRAN check flavors.

selection.index 2.0.0

Breaking changes

• All primary user-facing functions have transitioned from dot-notation to snake_case notation for better clarity and to avoid S3 method dispatch conflicts.
  • phen.varcov() is now phen_varcov()
  • gen.varcov() is now gen_varcov()
  • weight.mat() is now weight_mat()
  • gen.advance() is now gen_advance()
• The base combinatorial selection functions have been replaced with the dedicated lpsi() function (Linear Phenotypic Selection Index).

Major changes

• The variance-covariance calculation engine, system solvers, and combinatorial index builders are now fully powered by Rcpp and RcppEigen.
• Index evaluations for large trait configurations are now exponentially faster due to primitive matrix operations.

New features

• Introduced new suites for evaluating linear genomic selection indices (lgsi()) and combining genomic/phenotypic data (ppg_lgsi()).
• Introduced new modules for tracking continuous index performance across multiple stages of breeding trials (mlpsi(), mlgsi()).
• Implemented specialized solvers to maximize genetic advance while specifically constraining genetic gain for restrictive/undesired traits to zero (rlpsi(), dg_lpsi()).
• Adopted Eigen-decomposition based selection methods for phenotypic (esim()) and genomic (gesim()) evaluations.
• Added specialized infrastructure for evaluating linear marker selection indices (lmsi()).
• Added new comprehensive toolsets to actively simulate and visualize multi-cycle genetic advance over time under varied selection index intensities and environmental variances (simulate_selection_cycles()).
• Created a complete pkgdown official website.
• Added a complete vignette suite detailing the mathematical foundation and code usage for all new marker, genomic, multi-stage, constrained, and stochastic features.

selection.index 1.2.1

• improve the overall performance of the package

selection.index 1.2.0

• add new function meanPerformance() for calculating the mean performance in randomized block design data
• remove some typos from the documentation

selection.index 1.1.4

• removed two functions sel.index() and sel.score.rank() for easy implementation of comb.indices()

selection.index 1.1.3

• Added a new function gen.advance() for genetic advance calculation

selection.index 1.1.2

• rank column added in rcomb.indices() for ranking of index

selection.index 1.1.1

• Added a new function rcomb.indices() for calculated possible selection indices excluding single character or particular index from all possible selection indices

selection.index 1.1.0

• Bug fixes in phen.varcov()
• Added a new function comb.indices() for calculating possible selection indices with the group/pairs of traits/characters
• removed function: rank.index()

selection.index 1.0.0

• Added a NEWS.md file to track changes to the package.