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SAVER 1.1.2 (November 12, 2019)

• Update to make compatible with glmnet 3.0.

SAVER 1.1.1 (September 26, 2018)

• Fix bug when inputted mu values are far from observed
• Add get.mu function to get prior mean predictions.

SAVER 1.1.0 (September 2, 2018)

• Improve finish time estimation
• Allow input of prior predictions
• Can set ncores to set up parallel backend
• Update documentation
• Make SAVER tutorial vignette
• Allow input of sparse matrices
• Allow return of estimates matrix only

SAVER 1.0.0 (April 25, 2018)

• First official release

SAVER 0.4.0 (February 28, 2018)

• Implemented faster version of SAVER which is 20-30x faster
• No longer necessary to specify parallel=TRUE
• Implemented progress bar

SAVER 0.3.1 (January 29, 2018)

• Incorporate iterators package
• Implement mean expression cutoff for prediction matrix
• Fix minor bugs

SAVER 0.3.0 (September 19, 2017)

• Combine parallel output using unlist instead of Reduce.
  • Reduce is computationally intensive. Might cause issue #1.
• Add nlambda option to saver
• Incorporate bigmemory package
• Export cor.cells

SAVER 0.2.2 (August 13, 2017)

• Rewrote combine function of parallel implementation of saver
• Add null model option to saver

SAVER 0.2.1 (August 1, 2017)

• Rewrote parallel implementation of SAVER
• Added verbose, pred.cells, and predict.time options to saver

SAVER 0.2.0 (July 23, 2017)

• Addressed issue #1
• Add option to filter genes out for prediction in saver
  
• Reduced saver output
• Created correlation adjustment functions cor.genes and cor.cells

SAVER 0.1.3 (July 18, 2017)

• Addressed issue #1
• Remove requirement of saver object
• Created sample.saver function
• More accurate calculation of finish time
• Update version number

SAVER 0.1.2 (May 29, 2017)

• Added sample.saver to sample datasets from the posterior distribution.
• Documented dataset and package.
• Included size factor, number of genes and cells, and names to saver output.
• Created saver class.

SAVER 0.1.1 (May 9, 2017)

Prerelease version with documentation.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.