Nothing
TreeSummarizedExperiment
package that came with R version 4.5, minimum version requirements for TreeSummarizedExperiment
, MicrobiotaProcess
, and SummarizedExperiment
have temporarily been added to the dependencies. This breaks compatibility with older versions of Ubuntu temporarily.reshapeData()
which reshapes a long dataframe of counts into a data cube.reshapeData()
.Fujita2023
, Shao2019
, and vanderPloeg2024
now utilize reshapeData
when they are being generated.corcondia()
is now fully based on the N-way toolbox implementation.vanderPloeg2024
now contains all datasets from the original paper.flipLoadings()
would not flip any of the modes if there was evidence that all three modes should be flipped.flipLoadings()
would not work when one model was provided.parafac_gradient
to make them more robust towards various platforms checked by CRAN.importPhyloseq
, importTreeSummarizedExperiment
and importMicrobiotaProcess
to meet CRAN requirements.importPhyloseq
, importTreeSummarizedExperiment
and importMicrobiotaProcess
.importPhyloseq
was modified to use rTensor-based cube folding instead of a for-loop.importTreeSummarizedExperiment
was modified to use rTensor-based cube folding instead of a for-loop.importMicrobiotaProcess
was modified to use rTensor-based cube folding instead of a for-loop.importPhyloseq
allows the user to import a phyloseq object for parafac modelling.importTreeSummarizedExperiment
allows the user to import a TreeSummarizedExperiment object for parafac modelling.importMicrobiotaProcess
allows the user to import a MicrobiotaProcess object for parafac modelling.parafac
is now a custom function based on an ALS algorithm allowing for much more output (see documentation).initializePARAFAC
initializes the input vectors either randomly on based on a best-guess SVD model of the unfolded array.parafac_core_als
contains this ALS algorithm.parafac_fun
calculates the loss of a parafac model in anticipation of an all-at-once optimization implementation.assessNumComponents
and checkModelStability
have been renamed into assessModelQuality
and assessModelStability
respectively to clarify their use.checkModelStability
now works with a minimum and maximum number of components.checkModelStability
reports Factor Match Score in a plot.calculateFMS
calculates pairwise Factor Match Scores for a list of model objects.parafac
, multiwayCenter
, multiwayScale
and multiwayCLR
are now based on the new rTensor dependency for tensor unfoldingplotOverallTCCs
has been merged with plotModelTCCs
.NEWS.md
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