README.md
In valcourgeau/xvine: Extreme Vines and their Counterfactual Causality
xvine
The goal of xvine is to provide users with the Extreme Event
Propagation (EEP) framework and tools to infer causal relationnships
between a cause and an impact extreme event. Based on stationary vine
copulas, it comprises counnterfactual causal inference strategies
described in Courgeau and Veraart (2021) \,
regularisation with various extreme event formulations
Installation
SOON You can install the released version of xvine from
CRAN with:
install.packages("xvine")
For now, the development version from GitHub
with:
# install.packages("devtools")
devtools::install_github("valcourgeau/xvine")
valcourgeau/xvine documentation built on Sept. 8, 2021, 9:15 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
xvine
The goal of xvine is to provide users with the Extreme Event
Propagation (EEP) framework and tools to infer causal relationnships
between a cause and an impact extreme event. Based on stationary vine
copulas, it comprises counnterfactual causal inference strategies
described in Courgeau and Veraart (2021) \,
regularisation with various extreme event formulations
Installation
SOON You can install the released version of xvine from CRAN with:
install.packages("xvine")
For now, the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("valcourgeau/xvine")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.