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)
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.