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

Principal componentsof spatial, rank and Kendalls tau-covariance matrices for the population, randomsamples, real and simulated data

Working Paper (2021)

Koch Inge and Naito Kanta

The long term impact of Chilean policy reforms on savings and pensions

Journal of the Economics of Ageing (2021)

Madeira Carlos

Testing the first-order separability hypothesis for spatio-temporal point patterns

Computational Statistics & Data Analysis (2021)

Ghorbani Mohammad, Vafaei Nafiseh, Dvořák Jiří, and Myllymäki Mari

Market Power and Efficiency in the Iranian Banking Industry

Emerging Markets Finance and Trade (2020)

Haghnejad Amin, Samadi Saeed, Nasrollahi Khadije, Azarbayjani Karim, and Kazemi Iraj

Ensemble Sparse Estimation of Covariance Structure for Exploring Genetic Disease Data

Computational Statistics & Data Analysis (2021)

Kang Xiaoning and Wang Mingqiu

A Mapping-based Universal Kriging Model for Order-of addition Problems in Drug Combination Studies

Computational Statistics & Data Analysis (2021)

Xiao Qian and Xu Hongquan

Inference for partially observed epidemic dynamics guided by Kalman filtering techniques

Working Paper (2020)

Delattre Maud, Larédo Catherine, and Vergu Elisabeta

Selection of weightages for causative factors used in preparation of landslide susceptibility zonation (LSZ)

Geomatics, Natural Hazards and Risk (2018)

Gupta Sharad Kumar, Shuka Dericks P., and Thakur Manoj

Detection of Weak Doppler Microembolic Signature using Two-Dimensional-Adaptive Time-Frequency Threshold from Spectrogram

Biomedical Signal Processing and Control (2020)

Ménigot Sébastien, Geryes Maroun, and Girault Jean-Marc