NEWS
npGSEA 1.5.1
npGSEA 1.3.8
- Adjusted email of Jessica L. Larson
npGSEA 1.3.7
- Scaling of X to have unit variance is now optional (and is the current default)
npGSEA 1.3.6
- Scaling of X and Y is now optional (and is the current default)
npGSEA 1.3.5
- Set a minimum p-value for the Beta approximation as the default
npGSEA 1.3.4
- Added some checks to the values of XG and Y
npGSEA 1.3.3
- Made the epsilonBetaAdj=FALSE as the default option.
npGSEA 1.3.2
- Set a minimum p-value for the Beta approximation as the default, but allowed it be changed with the 'epsilonBetaAdj' parameter in the main function.
npGSEA 1.3.1
- Added a requirement that each treatment group have at least two observations.
- Set a minimum p-value for the Beta approximation so that it never returns a value of zero
npGSEA 1.1.2
- Added x-axis labels to plots
- Changed 'z' to 'covars' in the npGSEA function
- Added a new function 'pValues' which returns all appropriate p-values for a given npGSEAResult object
- Added a new function slot to the npGSEAResult objects, betaHats. This vector contains the betaHats for each gene in the gene set. Users can thus now see each gene's individual contribution to the test statistics.
npGSEA 1.1.1
- Fixed a typo in stat accessor for Beta approximation
npGSEA 0.99.0
- Package submitted to Bioconductor