NEWS

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apeglm 1.23.1

• Sometimes prefit.beta was NaN, now properly handled in apeglm(). Resolves some "Error in optimHess" issue propagated to DESeq2.

apeglm 1.8.0

• Bringing in Josh Zitovsky's work on fast beta binomial GLM fitting in C++.

apeglm 1.5.4

• Added possibility for weights and standard errors to bbEstDisp(). The standard errors are for the log of dispersion (theta).

apeglm 1.3.2

• Fix simple bug when no sample has only intercept coefficient.

apeglm 1.2.0

• Faster fitting of Negative Binomial using RcppNumerical.

apeglm 1.0.0

• apeglm is released on Bioconductor! Methods can be accessed from within DESeq2 by calling 'lfcShrink' with type="apeglm".