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

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

## Documentation for package ‘tempted’ version 0.1.1

- DESCRIPTION file

## Help Pages

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
reconstruct | Reconstruct tensor from low dimensional components
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