Changes in version 1.1.3 - Fix error for R version 4.2.0. Changes in version 1.1.2 (2019-11-13) - Update to make compatible with glmnet 3.0. Changes in version 1.1.1 (2018-10-14) - Fix bug when inputted mu values are far from observed - Add get.mu function to get prior mean predictions. Changes in version 1.1.0 - 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 Changes in version 1.0.0 - First official release Changes in version 0.4.0 - Implemented faster version of SAVER which is 20-30x faster - No longer necessary to specify parallel=TRUE - Implemented progress bar Changes in version 0.3.1 - Incorporate iterators package - Implement mean expression cutoff for prediction matrix - Fix minor bugs Changes in version 0.3.0 - 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 Changes in version 0.2.2 - Rewrote combine function of parallel implementation of saver - Add null model option to saver Changes in version 0.2.1 - Rewrote parallel implementation of SAVER - Added verbose, pred.cells, and predict.time options to saver Changes in version 0.2.0 - 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 Changes in version 0.1.3 - Addressed issue #1 - Remove requirement of saver object - Created sample.saver function - More accurate calculation of finish time - Update version number Changes in version 0.1.2 - 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. Changes in version 0.1.1 Prerelease version with documentation.