NEWS
zinbwave 1.11.6 (2020-07-18)
- Fixed a bug in the initialization of beta_j.
- Fixed a bug in zinbsurf.
- Changed zinbwave default to 'K=2'.
- Fix bug in the initialization of W.
zinbwave 1.7.5 (2019-10-08)
- Changed default of 'zinbwave' to 'observationalWeights=FALSE' to speed up
computations when weights are not needed.
- Added argument 'zeroinflation = TRUE': when set to FALSE a negative binomial
model is fit.
- Removed dependence on the 'copula' package to avoid depending on 'gsl'.
zinbwave 1.5.3 (2019-04-19)
- Updated vignette to reflect new way of interacting with Seurat.
- Illustrate the use of approximate 'zinbsurf' function.
zinbwave 1.4.2 (2019-03-11)
- Fix bug in computeObservationalWeights.
zinbwave 1.3.1 (2018-05-09)
- New 'zinbsurf' function implements approximate method for large matrices.
- New option 'which_genes' in 'zinbwave' to specify which genes to use to
compute 'W'.
zinbwave 1.1.6 (2018-04-17)
- 'zinbwave' now uses 'counts' assay by default.
- Users can now specify which assay to use to fit the zinb model.
zinbwave 1.1.5 (2018-02-15)
- Computational weights are computed in 'zinbwave' as saved as assay.
- Modified vignette to include example of Differential Expression.
- Improved documentation for 'zinbwave'.
zinbwave 0.99.10 (2017-10-23)
- Added AIC and BIC to decide number of factors
- Added function to compute observational weights for DE
zinbwave 0.99.7 (2017-07-17)
- 'zinbwave()' now returns a 'SingleCellExperiment' object.
zinbwave 0.99.6 (2017-07-05)
- Fixed bug in zinb.loglik.matrix to avoid Inf values
zinbwave 0.99.5 (2017-07-03)
- Added function computeDevianceResiduals() to compute residuals
- Added function imputeZeros() to use the model to impute technical zeros
- Added function zinbwave() to perform dimensionality reduction
- Changed vignette to illustrate new functions
zinbwave 0.99.4 (2017-06-08)
- Switch from parallel to BiocParallel
- Improvements to code efficiency, e.g., avoid copying ZinbModel objects
zinbwave 0.99.3 (2017-05-31)
- More informative Description: field
- Improved documentation
- Added getAlpha, getBeta, and getGamma accessor functions
- Improved show() method
- Vectorized code in zinbSim()
- Fixed bug that introduced an error when initializing an object with empty X or V
- Added tests on numerical correctness
zinbwave 0.99.2 (2017-05-12)
- New formula interface for SummarizedExperiment
- Add t-SNE example to vignette
zinbwave 0.99.0 (2017-05-09)
- Bumped version for submission to Bioconductor
- Minor changes to compile vignette
- Required R version 3.4
zinbwave 0.1.4 (2017-04-10)
- Improved documentation
- zinbSim now produces matrix of J x n dimension
- Removed unnecessary dependency on clusterExperiment
- Additional tests
- Better default for epsilon
zinbwave 0.1.2 (2017-03-29)
- New vignette
- Change name to zinbwave
zinbwave 0.1.0 (2016-09-23)
- Introducing S4 class zinbModel
- Major restructuring of the initialization and optimization (see vignette)
- Method zinbFit to fit a model
- Many other methods, including zinbInitialize, zinbOptimize, zinbSim