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Hi there 👋

I am a PhD student in Psychological Methods with a background in Economics and Psychology. In my methodological work, I am interested in Time Series, Forecasting, and Networks. I like to apply these methods to learn more about how experience sampling and passive sensor data can help us better understand and predict mental disorders.

Björn Siepe's Projects

bggmmod icon bggmmod

Modified version of BGGM package (originially created by Donald Williams)

forecast-literature-talk icon forecast-literature-talk

This repo contains slides and materials for a talk about some selected historical and recent trends in the forecasting literature.

mastodon-openscience icon mastodon-openscience

Tool to bulk follow accounts related Open Science on Mastodon. Runs at https://germanrepro.github.io/Mastodon-OpenScience/ Based on the DIY webapp to bulk follow sociological accounts on Mastodon by David Adler, Thomas Haase & Hendrik Erz.

mv-gimme icon mv-gimme

Fork of Group Iterative Multiple Model Estimation for multiverse analysis

network-multiverse icon network-multiverse

Contains code and output related to the paper Siepe, B.S. & Heck, D.W. (2023). Multiverse analysis for dynamic network models: Investigating the influence of plausible alternative modeling choices.

papers icon papers

A repository for my cool paper (and for teaching git)

simdesign icon simdesign

Structure for organizing Monte Carlo simulations in R

simpsychreview icon simpsychreview

Data, code and output related to the paper Siepe et al. (2023). Simulation Studies for Methodological Research in Psychology: A Standardized Template for Planning, Preregistration, and Reporting

steady_tvvar icon steady_tvvar

Code and Output for the preprint "Idiographic Dynamics of Depressive Symptomatology"

tsnet icon tsnet

Comparing and Visualizing Networks based on Time Series Data

var-compare icon var-compare

Code to reproduce the analyses in the preprint "Bayesian Estimation and Comparison of Idiographic Network Models" by Siepe & Heck (2023)

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