The R Journal: article published in 2019, volume 11:1

Nowcasting: An R Package for Predicting Economic Variables Using Dynamic Factor Models
Serge de Valk, Daiane de Mattos and Pedro Ferreira , The R Journal (2019) 11:1, pages 230-244.

Abstract The nowcasting package provides the tools to make forecasts of monthly or quarterly economic variables using dynamic factor models. The objective is to help the user at each step of the forecasting process, starting with the construction of a database, all the way to the interpretation of the forecasts. The dynamic factor model adopted in this package is based on the articles from Giannone et al. (2008) and Banbura et al. (2011). Although there exist several other dynamic factor model packages available for R, ours provides an environment to easily forecast economic variables and interpret results.

Received: 2018-12-01; online 2019-08-16, supplementary material, (1 KiB)
CRAN packages: nowcasting

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@article{RJ-2019-020,
  author = {Serge de Valk and Daiane de Mattos and Pedro Ferreira},
  title = {{Nowcasting: An R Package for Predicting Economic Variables
          Using Dynamic Factor Models}},
  year = {2019},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2019-020},
  url = {https://doi.org/10.32614/RJ-2019-020},
  pages = {230--244},
  volume = {11},
  number = {1}
}