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ryanoisin's Projects

causalhypotheses icon causalhypotheses

Reproducibility Archive for Ryan, Bringmann & Schuurman (2019) The Challenge of Generating Causal Hypotheses using Network Models

continuous_time-ild-what-why-how icon continuous_time-ild-what-why-how

R code for creating the figures which appear in Ryan, Kuiper and Hamaker (scheduled to appear in 2018) ). A continuous time approach to intensive longitudinal data: What, Why and How? In K. v. Montfort, J. H. L. Oud, & M. C. Voelkle (Eds.), Continuous time modeling in the behavioral and related sciences

ctnet icon ctnet

Continuous-Time Dynamical Network Analysis

ctnetworkscentrality icon ctnetworkscentrality

Code and reproducibility archive for the paper Ryan, O., Hamaker, E.L. (2022) Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality. Psychometrika 87, 214–252. https://doi.org/10.1007/s11336-021-09767-0

formaltheoryworkshop icon formaltheoryworkshop

Materials for the workshop "Formal Theories in Psychology - What they are, why they matter, and how to build them"

generativeemotioncodearchive icon generativeemotioncodearchive

Code archive to reproduce all analysis, simulations and figures in the paper "Towards a Generative Model for Emotion Dynamics"

minimal-mistakes icon minimal-mistakes

:triangular_ruler: Jekyll theme for personal sites, blogs, and portfolios. Two-columns and extremely flexible.

modelingild_eam21 icon modelingild_eam21

A repository containing materials for the workshop "Modeling Intensive Longitudinal Data in Discrete and Continuous Time: The basics"

modelingild_uzh21 icon modelingild_uzh21

A repository containing materials for the workshop "Modeling Intensive Longitudinal Data in Discrete and Continuous Time: The basics".

nonstationaryts icon nonstationaryts

Code repository for Trends, Detrending and Non-Stationary Time Series

seset icon seset

A tool to explore statistically-equivalent path models

workshopexploratoryconfirmatoryct icon workshopexploratoryconfirmatoryct

A repository containing materials for the workshop "Exploratory and confirmatory modeling of unequally spaced time series data". 3rd International Symposium on N=1 Designs

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