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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.
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.