Temporal Tensor Decomposition, a Dimensionality Reduction Tool for Longitudinal Multivariate Data

Documentation for package ‘tempted’ version 0.1.0

aggregate_feature	Aggregate features using feature loadings
bernoulli_kernel	Caculate the Bernoulli kernel
count_table	OTU read count table from the ECAM data
est_test_subject	Estimate subject loading of testing data
format_tempted	Format data table into the input of tempted
meta_table	Meta data table from the ECAM data
plot_feature_summary	Plot nonparametric smoothed mean and error bands of features versus time
plot_metafeature	Plot nonparametric smoothed mesan and error bands of meta features versus time
plot_time_loading	Plot the temporal loading functions
processed_table	Central-log-ratio (clr) transformed OTU table from the ECAM data
ratio_feature	Take log ratio of the abundance of top features over bottom features
svd_centralize	Remove the mean structure of the temporal tensor
tdenoise	Calculate the de-noised temporal tensor
tempted	Decomposition of temporal tensor
tempted_all	Run all major functions of tempted