NEWS
GPA 1.1.0
- Made the following significant changes
- Incorporate ShinyGPA developed by Emma Kortemeier as a part of the R package.
- Add fitAll() to fit GPA models for possible pairs of phenotypes.
- Add shinyGPA() to open the shiny app for the interactive pleiotropy visualization.
GPA 0.99.9 (2020-04-14)
- Formatted package for Bioconductor. Changes include:
- Added runnable examples
- Reformatted source code to match Bioconductor practices
GPA 0.9.3
- Made the following significant changes
- Incorporate R package vignette.
- assoc(), fdr(): allows association mapping & local FDR for specific association status.
- aTest(), pTest(): message() was replaced with cat().
GPA 0.9.2
- Made the following significant changes
- Add se() to provide parameter estimates and their standard errors.
GPA 0.9.1
- Made the following significant changes
- Add fdr() to provide local FDR that a SNP is not associated with each phenotype.
- Add assoc() for association mapping.
- The function aTest() and methods show() and cov() for class 'GPA' now provide estimates and standard error for the ratio of q in each association class over the baseline.
- In GPA(), 'initBetaMean' argument is replaced with 'initBetaAlpha'.
- Generally improve robustness of functions by checking input for arguments.
GPA 0.9.0
- The first version of GPA R package.