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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "TensorMCMC" in publications use:'
type: software
license: MIT
title: 'TensorMCMC: Tensor Regression with Stochastic Low-Rank Updates'
version: 0.1.0
doi: 10.32614/CRAN.package.TensorMCMC
abstract: Provides methods for low-rank tensor regression with tensor-valued predictors
  and scalar covariates. Model estimation is performed using stochastic optimization
  with random-walk updates for low-rank factor matrices. Computationally intensive
  components for coefficient estimation and prediction are implemented in C++ via
  'Rcpp'. The package also includes tools for cross-validation and prediction error
  assessment.
authors:
- family-names: Mondal
  given-names: Ritwick
  email: ritwick12@tamu.edu
repository: https://cran.r-universe.dev
commit: 03dae74c2a43f05a503817baa30108b387e2ff34
date-released: '2026-01-08'
contact:
- family-names: Mondal
  given-names: Ritwick
  email: ritwick12@tamu.edu