R: Handle Missing Tensor Data with C++ Integration

# Handle Missing Tensor Data with C++ Integration

## Documentation for package ‘tensorMiss’ version 1.1.1

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

## Help Pages

fle | Factor loading error
miss_factor_est | Estimation of tensor factor models with missing data
miss_gen | Assignment of missingness to tensor time series
qMSE | Quantile relative squared error
refold | Tensor refolding
sigmaD | HAC covariance estimator for asymptotic normality on each row j of loading matrix estimator
tensor_gen | Data generation of tensor time series with factor structure
ttm | Mode k product with matrix
unfold | Tensor unfolding