Run My Code

RunMyCode enables scientists

to openly share the code and data that underlie their research publications

This service is based on the innovative concept of a companion
website associated with a scientific publication.

Users

Users can access the code and data used by researchers.
Researchers

Researchers can share the code and data used in a scientific paper. This increases transparency and reproducibility.
Journals

Journals' editors can invite the authors who publish in their journals to share their code and data on RunMyCode.

Companion websites

Erlebacher’s Method for Contrasting the Within and Between-Subjects Manipulation of the Independent Variable using R and SPSS

Working Paper (2014)

Merritt Paul, Cook Gabriel, and Wang Min

A New Set of Improved Value-at-Risk Backtests

Working Paper (2013)

Berens Tobias, Ziggel Daniel, and Wied Dominik

Choice of Generalized Linear Mixed Models Using Predictive Crossvalidation

Computational Statistics and Data Analysis (2014)

Braun Julia, Sabanés Bové Daniel, and Held Leonhard

Unveiling the Embedded Coherence in Divergent Performance Rankings

Journal of Banking and Finance (2014)

Bosch-Badia Maria-Teresa, Montllor-Serrats Joan, and Tarrazon-Rodon Maria-Antonia

A spatio-temporal point process model for predicting diarrheal case-patterns in Northwest Ecuador

Spatial and Spatio-temporal Epidemiology (2014)

Ahn Jaeil, Johnson Timothy, Bhavnani Darlene, and Eisenberg Joseph

Esiminer: Extendebel Tool for Data Mining

Working Paper (2011)

Kellou-menouer Kenza and Mokhtari Djalil

High Level Chaos in the Index and Exchange Markets

Chaos, Solitons & Fractals (2013)

Litimi Houda

A Quadratic Kalman Filter

Working Paper (2013)

Renne Jean-Paul, Monfort Alain, and Roussellet Guillaume

Systemic Risk Score: A Suggestion

SSRN (2013)

Perignon Christophe and Hurlin Christophe