- Fix error for R version 4.2.0.
- Update to make compatible with glmnet 3.0.
- Fix bug when inputted mu values are far from observed
- Add
get.mu
function to get prior mean predictions.
- 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
- First official release
- Implemented faster version of SAVER which is 20-30x faster
- No longer necessary to specify
parallel=TRUE
- Implemented progress bar
- Incorporate
iterators
package - Implement mean expression cutoff for prediction matrix
- Fix minor bugs
- Combine parallel output using
unlist
instead ofReduce
.Reduce
is computationally intensive. Might cause issue #1.
- Add nlambda option to
saver
- Incorporate
bigmemory
package - Export
cor.cells
- Rewrote combine function of parallel implementation of
saver
- Add null model option to
saver
- Rewrote parallel implementation of SAVER
- Added verbose, pred.cells, and predict.time options to
saver
- Addressed issue #1
- Add option to filter genes out for prediction in
saver
- Reduced
saver
output - Created correlation adjustment functions
cor.genes
andcor.cells
- Addressed issue #1
- Remove requirement of
saver
object - Created
sample.saver
function - More accurate calculation of finish time
- Update version number
- 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.
Prerelease version with documentation.