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.