Skip to content
@fdslrm

fdslrm: Time series analysis and forecasting using LMM

a research project using linear mixed models (LMM), currently supported by the Slovak Research and Development Agency (APVV-21-0216, APVV-21-0369)

Pinned

  1. GDD GDD Public

    a research paper about computing Gamma Difference Distribution with supplementary materials - software, notebooks

    Jupyter Notebook 1

  2. EBLUP-NE EBLUP-NE Public

    a research paper about FDSLRM modeling with supplementary materials - software, notebooks

    Jupyter Notebook 2 1

  3. applications applications Public

    Jupyter notebooks with real data set applications of FDSLRM in econometric time series

    Jupyter Notebook 1

Repositories

Showing 9 of 9 repositories
  • EBLUP-NE Public

    a research paper about FDSLRM modeling with supplementary materials - software, notebooks

    Jupyter Notebook 2 1 0 0 Updated Jan 20, 2023
  • GDD Public

    a research paper about computing Gamma Difference Distribution with supplementary materials - software, notebooks

    Jupyter Notebook 0 MIT 1 0 0 Updated Jan 20, 2023
  • R-package Public

    R package for modeling and prediction of time series using linear mixed models

    R 0 0 0 0 Updated Apr 23, 2020
  • MMEinR Public

    R version of Witkovsky's Matlab implementation of iterative solving of Henderson's mixed model equations.

    R 0 0 0 0 Updated Apr 23, 2020
  • fdslrmAllinOne Public
    R 0 MIT 0 0 0 Updated Apr 23, 2020
  • applications Public

    Jupyter notebooks with real data set applications of FDSLRM in econometric time series

    Jupyter Notebook 1 0 0 0 Updated May 26, 2019
  • Binder-R Public

    A Binder repository for EBLUP-NE paper using CVXR and standard R tools

    Jupyter Notebook 0 0 0 0 Updated May 23, 2019
  • Binder-Sage Public

    A Binder repository for EBLUP-NE paper using SageMath

    Jupyter Notebook 0 0 0 0 Updated May 21, 2019
  • Binder-CVXPY Public

    A Binder repository for EBLUP-NE paper using CVXPY and SciPy

    Jupyter Notebook 0 0 0 0 Updated May 21, 2019

Top languages

Loading…

Most used topics

Loading…