Papers



Submit a Paper!

Browse ReproHack papers

  • A multi-level analysis of data quality for formal software citation

    Authors: David Schindler, Tazin Hossain, Sascha Spors, Frank Kr├╝ger
    DOI: https://doi.org/10.48550/arXiv.2306.17535
    Submitted by frank.krueger    
      Mean reproducibility score:   9.0/10   |   Number of reviews:   2
    Why should we attempt to reproduce this paper?

    We spend a lot of time to make our analyses reproducible. A review would allow us to collect some information on whether we are successful with it.

  • REMoDNaV: robust eye-movement classification for dynamic stimulation

    Authors: Asim H. Dar, Adina S. Wagner, Michael Hanke
    DOI: https://doi.org/10.3758/s13428-020-01428-x
    Submitted by adswa    
      Mean reproducibility score:   7.0/10   |   Number of reviews:   3
    Why should we attempt to reproduce this paper?

    In theory, reproducing this paper should only require a clone of a public Git repository, and the execution of a Makefile (detailed in the README of the paper repository at https://github.com/psychoinformatics-de/paper-remodnav). We've set up our paper to be dynamically generated, retrieving and installing the relevant data and software automatically, and we've even created a tutorial about it, so that others can reuse the same setup for their work. Nevertheless, we've for example never tried it out across different operating systems - who knows whether it works on Windows? We'd love to share the tips and tricks we found to work, and even more love feedback on how to improve this further.

  • model4you: An R Package for Personalised Treatment Effect Estimation

    Authors: Seibold, H., Zeileis, A. and Hothorn, T., 2019
    DOI: 10.5334/jors.219
    Submitted by hub-admin    
      Mean reproducibility score:   9.0/10   |   Number of reviews:   1
    Why should we attempt to reproduce this paper?

    I guess it could be a cool learning experience. The paper is written with knitr, uses a seed, is part of the R package it describes, was openly written using version control (SVN, R-Forge) and is available in an open access journal (@up_jors).

    Tags: R LaTeX SVN knitr

Search for papers

Filter by tags

Python R ArcGIS make Docker Drake Shiny LaTeX SVN knitr HPC Computer Science C Matlab Mathematica Stata Meta-analysis GDAL GEOS GIS PROJ Social Science swig miniconda neuroscience Jupyter Notebook tensorflow keras Pandas SQL Galaxies Astronomy Databases Binder tidyverse emacs literate earth sciences clumped isotopes org-mode geology eyetracking Git robotics deep learning planner reiforcement learning Plasma physics Hybrid-PIC EPOCH Laser Gamma-ray X-ray radiation Petawatt Fortran plasma PIC physics Monte Carlo Atomistic Simulation LAMMPS Electron Transport DFT descriptors interatomic potentials machine learning Molecular Dynamics Python scripting AIRSS structure prediction density functional theory high-throughput machine-learning RNA bioinformatics CFD Fluid Dynamics OpenFOAM C++ DNS Mathematics Droplets Basilisk Particle-In-Cell psychology consumer behavior number estimation mental arithmetic psychophysics Stan Finance SAS Replication crisis Economics Malaria Archaeology Precipitation Epidemiology Parkrun Health Health Economics HTA plumber science of science Zipf networks city size distribution urbanism literature review Preference Visual Questionnaire Mann-Whitney Correlation Conceptual replication Cognitive psychology Multinomial processing tree (MPT) modeling #urbanism #R k-means cluster analysis city-regions Urban Knowledge Systems Topic modelling Planning Support Systems Software Citation Quarto snakemake Numerical modelling Ocean climate physical oceanography apptainer oceanography R package structural equation modeling bayes factor Forest Simulations Models of forest dynamics multi-lab study mice mechanics growth Tissue Cells Clustering Expectation-Maximization bootstrapping R software Position Weight Matrices singularity neuroimaging effect size biology replicability cancer reproducibility csv osf preclinical research All tags Clear tags

Key

  Associated with an event
  Available for general review
  Public reviews welcome