R packages

  • ctmle R package (Ju, Gruber, Wyss, Häggström and van der Laan, 2019) used in the paper “Collaborative-controlled LASSO for Constructing Propensity Score-based Estimators in High-Dimensional Data”. [arXiv]
  • CovSelHigh R package (Häggström, 2016) used in the paper “Data-driven Confounder Selection via Markov and Bayesian Networks”. [arXiv]
  • CovSel R package (Häggström and Persson, 2015) used in the paper “Data-driven Algorithms for Dimension Reduction in Causal Inference”. [arXiv]

Courses

  • 2024 Programming formalisms, UPPMAX, 1 week
  • 2024 Programming in C, Kristianstad University, 7.5hp
  • 2022 Programming in C#, Malmö University, 7.5hp
  • 2021 ENCCS/CSC Practical Deep Learning, 2 day workshop [certificate]
  • 2018 Programming in Python, Umeå University, 7.5hp