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mvMAPIT (development version)

mvMAPIT 2.0.4 release

• Fix Bonferroni correction in the mvMAPIT.Rmd vignette.
• New function binary_to_liability for LT-MAPIT support and corresponding vignette
• Fix CRAN Notes - dependency compatibility.
• Performance improvements in C++ implementation:
  • Eliminated redundant matrix inverse computation in projection operations
  • Optimized triple matrix products in Q matrix computation
  • Added benchmark suite for tracking performance improvements
  • Typical speedup: 3-8% depending on problem size and test method

mvMAPIT 2.0.3 release

• Fix LTO issues again. The R dev automation generates RcppExport.cpp files that cause LTO issues in this package on CRAN.

mvMAPIT 2.0.2 release

• Added Cauchy combination test cauchy_combined including vignette that compares combination methods
• simulate_traits now returns genotype matrix with causal epistatic variants named according to the trait they affect
• Added progress bar and possibility to interrupt C++ routine using RcppProgress
• Fixed “incorrect number of dimensions” error in simulate_data.R

mvMAPIT 2.0.1 release

• Fix LTO issues when submitting to CRAN. The testthat issue https://github.com/r-lib/testthat/issues/1230 describes the solution chosen. Created this GitHub gist to reproduce LTO errors: https://gist.github.com/jdstamp/056475683110aacdb1e6761872ab1e05.

mvMAPIT 2.0.0.1 pre-release

• CRAN issue does not show up in R CMD check. Version upgrade for resubmission.

mvMAPIT 2.0.0 release

• fishers_combined and harmonic_combined now take additional arguments in form of string values. The first determines the name of the column of the tibble by which to group the p-values. The second determines the name of the column containing the p-values.
• Added Dockerfile and vignette on mvMAPIT in Docker.
• MvMAPIT was renamed to mvmapit.
• simulate_phenotypes was renamed to simulate_traits.
• Dependencies were cleaned up, e.g. R requirement 2.10 -> 3.5, old package dependencies removed.

mvMAPIT 1.1.1-alpha prerelease

• Version that publication data was produced with. No official release.

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.