v1.6.1

Features

• Incorporate automatic check and unit tests on GitHub
• Update citation

Bug fixes

• Keep all 0 rows and columns in summarise_kmFit
• Improve missing sample message in kmFit

v1.5.0

Bug fixes

• Retain random effect results with 3+ level factors
• Make gene metadata optional and not automatically merged with results to improve kmFit speed
• Update example data to correspond to the SEAsnake tutorial
• Save t-statistic in model results
• Harmonize parameter names to all use '_' notation

v1.3.0

Bug fixes and transition to lme4qtl for kinship modeling

• Transition kinship modeling to lme4qtl::lmerel instead of coxme::lmekin.
  • Allows emmeans contrast calculations
  • Allows multiple random effects
  • Outputs significance and estimate for random effects
• Add gene annotation information to outputs
• Improve runtime with optional parameters and contrast specification
• Clean variable and parameter names to reduce errors with user input metadata
• Add summarize alias for summarise functions

v1.1.1

Major changes

• Output additional fit metrics in kmFit( ) including AIC, BIC, R-squared

v1.1.0

Major changes

• Add gene specific weights option to kmFit( ) modeling
• Improve kmFit outputs to include genes failed and accompanying error messages

Minor changes

• Add citation( ) information
• Bug fixes when patientID == libraryID
• Bug fixes to remove default libraryID == "libID"

v1.0.1

Add DOI

v1.0.0

First stable release.
kimma_1.0.0.pdf