Pinned Repositories
CausalHypotheses
Reproducibility Archive for Ryan, Bringmann & Schuurman (2019) The Challenge of Generating Causal Hypotheses using Network Models
ComputationalTreatment
Code repository for "Improving Treatments for Mental Disorders using Computational Models"
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
Continuous-Time Dynamical Network Analysis
expct
GenerativeEmotion
IntroCausalModeling2021
A repository for the workshop "Introduction to Causal Modeling"
SEset
A tool to explore statistically-equivalent path models
TimescaleSuicidalThinking
Code repository for the paper "Locating the Timescale of Suicidal Thinking" Coppersmith, Ryan et al.
workshop_siks_causal_impact
Lecture and lab materials for the SIKS course on causal inference, causal impact assessment part, May 31 2023
ryanoisin's Repositories
ryanoisin/IntroCausalModeling2021
A repository for the workshop "Introduction to Causal Modeling"
ryanoisin/ctnet
Continuous-Time Dynamical Network Analysis
ryanoisin/TimescaleSuicidalThinking
Code repository for the paper "Locating the Timescale of Suicidal Thinking" Coppersmith, Ryan et al.
ryanoisin/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
ryanoisin/SEset
A tool to explore statistically-equivalent path models
ryanoisin/workshop_siks_causal_impact
Lecture and lab materials for the SIKS course on causal inference, causal impact assessment part, May 31 2023
ryanoisin/CausalHypotheses
Reproducibility Archive for Ryan, Bringmann & Schuurman (2019) The Challenge of Generating Causal Hypotheses using Network Models
ryanoisin/expct
ryanoisin/GenerativeEmotion
ryanoisin/ComputationalTreatment
Code repository for "Improving Treatments for Mental Disorders using Computational Models"
ryanoisin/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
ryanoisin/dav_practicals
Practicals for Data Analysis & Visualisation
ryanoisin/FormalTheoryWorkshop
Materials for the workshop "Formal Theories in Psychology - What they are, why they matter, and how to build them"
ryanoisin/GenerativeEmotionCodeArchive
Code archive to reproduce all analysis, simulations and figures in the paper "Towards a Generative Model for Emotion Dynamics"
ryanoisin/metasem
metaSEM package
ryanoisin/minimal-mistakes
:triangular_ruler: Jekyll theme for personal sites, blogs, and portfolios. Two-columns and extremely flexible.
ryanoisin/ModelingILD_EAM21
A repository containing materials for the workshop "Modeling Intensive Longitudinal Data in Discrete and Continuous Time: The basics"
ryanoisin/ModelingILD_UZH21
A repository containing materials for the workshop "Modeling Intensive Longitudinal Data in Discrete and Continuous Time: The basics".
ryanoisin/NonStationaryTS
Code repository for Trends, Detrending and Non-Stationary Time Series
ryanoisin/rijkspalette
Generate colour palettes from Rijksmuseum paintings
ryanoisin/ryanoisin.github.io
Personal Website
ryanoisin/ryanoisin_personal
personal website
ryanoisin/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