R-package accompanying the paper "Dynamic Factor Model for Functional Time Series: Identification, Estimation, and Prediction"

Last update: Dec 09, 2022

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Overview

dffm

The goal of dffm is to provide functionality to apply the methods developed in the paper “Dynamic Factor Model for Functional Time Series: Identification, Estimation, and Prediction” by Sven Otto and Nazarii Salish.

Preprint:

https://arxiv.org/abs/2201.02532

Installation

You can install the package using the following command:

library(remotes)
install_github("ottosven/dffm")

Owner

Sven Otto

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