R: Covariance Inference and Decompositions for Tensor Datasets

# Covariance Inference and Decompositions for Tensor Datasets

## Documentation for package ‘tensr’ version 1.0.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

amprod | k-mode product.
anorm_cd | Array normal conditional distributions.
array_bic_aic | Calculate the AIC and BIC.
arrIndices | Array indices.
atrans | Tucker product.
collapse_mode | Collapse multiple modes into one mode.
convert_cov | Convert the output from 'equi_mcmc' to component covariance matrices.
demean_tensor | Demeans array data.
equi_mcmc | Gibbs sampler using an invariant prior.
fnorm | Frobenius norm of an array.
get_equi_bayes | Get the Bayes rule under multiway Stein's loss.
get_isvd | Calculate the incredible SVD (ISVD).
holq | Calculate the incredible higher-order LQ decomposition (HOLQ).
hooi | Calculate the higher-order orthogonal iteration (HOOI).
hosvd | Calculate the (truncated) higher-order SVD (HOSVD).
ihop | The incredible higher-order polar decomposition (IHOP).
kendalltau | Kendall's tau measure of association.
Kom | Commutation matrix.
ldan | Log-likelihood of array normal model.
listprod | Element-wise matrix products between two lists.
lq | LQ decomposition.
lrt_null_dist_dim_same | Draw from null distribution of likelihood ratio test statistic.
lrt_stat | Calculate the likelihood ratio test statistic.
mat | Unfold a matrix.
mhalf | The symmetric square root of a positive definite matrix.
mle_from_holq | Get MLE from output of 'holq'.
multiway_takemura | Calculate a truncated multiway Takemura estimator.
multi_stein_loss | Calculate multiway Stein's loss from square root matrices.
multi_stein_loss_cov | Calculate multiway Stein's loss from component covariance matrices.
polar | The left polar decomposition.
qr2 | QR Decomposition.
random_ortho | Generate a list of orthogonal matrices drawn from Haar distribution.
rmirror_wishart | Sample from the mirror-Wishart distribution.
rmvnorm | Multivariate normal simulation.
rsan | Standard normal array.
rwish | Wishart simulation.
sample_right_wishart | Gibbs update of 'Phi_inv'.
sample_sig | Update for total variation parameter in 'equi_mcmc'.
start_ident | Get list of identity matrices.
start_resids | Sample covariance matrices for each mode.
topK | Top K elements of a vector.
tr | Trace of a matrix.
trim | Truncates small numbers to 0.
tsum | Tucker sum.
zscores | Normal scores.