NEWS
SAVER 1.1.3
- Fix error for R version 4.2.0.
SAVER 1.1.2 (2019-11-13)
- Update to make compatible with glmnet 3.0.
SAVER 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.
SAVER 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
SAVER 1.0.0
SAVER 0.4.0
- Implemented faster version of SAVER which is 20-30x faster
- No longer necessary to specify
parallel=TRUE
- Implemented progress bar
SAVER 0.3.1
- Incorporate
iterators
package
- Implement mean expression cutoff for prediction matrix
- Fix minor bugs
SAVER 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
SAVER 0.2.2
- Rewrote combine function of parallel implementation of
saver
- Add null model option to
saver
SAVER 0.2.1
- Rewrote parallel implementation of SAVER
- Added verbose, pred.cells, and predict.time options to
saver
SAVER 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
SAVER 0.1.3
- 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
- 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
Prerelease version with documentation.