README.md

In gajdosandrej/fdslrm: R package for modeling and prediction of time series using linear mixed models

fdslrm

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

Installation and requirements

fdslrm was developed with R version 3.4.2 (2017-09-28).

To install, you can either clone the directory with Git or download a .zip file or install package from R GitHub repository.

Option 1: Download .zip file

Download a .zip of fdslrm from

• https://github.com/gajdosandrej/fdslrm/releases

After unzipping, you will need to open fdslrm.Rproj.

Option 2: Clone with Git

To clone the fdslrm repository, first navigate in a terminal to where you want the repository cloned, then type

git clone https://github.com/gajdosandrej/fdslrm.git

and you will need to open fdslrm.Rproj.

Option 3: Install package from source archive file

You can download package from

• https://github.com/gajdosandrej/fdslrm/releases

in install packages in RStudio you chose Package Archive File (.tar.gz).

Option 4: Install package from GitHub

Just run the following command in your RStudio console:

devtools::install_github("gajdosandrej/fdslrm")

Acknowledgements

This research is partially supported by the projects APVV-17-0568, VEGA 1/0311/18 and VVGS-PF-2018-792.

License

See LICENSE for fdslrm licensing information.

gajdosandrej/fdslrm documentation built on April 28, 2020, 11:35 a.m.