Pinned Repositories
r-causal
R Wrapper for Tetrad Library
Bayesian-stat
Final project for the Bayesian statistics course 2022 @ Utrecht University
Bayesian_network_matlab_to_R
Matlab code used in Kamalabad & Grzegorczyk(2019) converted to R code.
Causal-Inference
Causal Inference course 2022 @ Utrehct University
CCI_KP
Cyclic Causal Inference
diffeqr
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
DifferentialEquations.jl
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Discovering_CCM
MSBBSS Master's Thesis Project 2022
ggmice
Visualize incomplete and imputed data with the R package `ggmice`
Network_comparison
This repository serves as a research archive for the mini-project "Comparison of Gaussian graphical models (GGM) and Directed Cyclic Graph (DCG) Models as Causal Discovery Tools"
KyuriP's Repositories
KyuriP/Discovering_CCM
MSBBSS Master's Thesis Project 2022
KyuriP/Bayesian-stat
Final project for the Bayesian statistics course 2022 @ Utrecht University
KyuriP/Bayesian_network_matlab_to_R
Matlab code used in Kamalabad & Grzegorczyk(2019) converted to R code.
KyuriP/Causal-Inference
Causal Inference course 2022 @ Utrehct University
KyuriP/CCI_KP
Cyclic Causal Inference
KyuriP/diffeqr
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
KyuriP/DifferentialEquations.jl
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
KyuriP/ggmice
Visualize incomplete and imputed data with the R package `ggmice`
KyuriP/Network_comparison
This repository serves as a research archive for the mini-project "Comparison of Gaussian graphical models (GGM) and Directed Cyclic Graph (DCG) Models as Causal Discovery Tools"
KyuriP/Supervised-Learning-and-Visualization
Final projects for the Supervised Learning and Visualization course 2022 @ Utrecht University
KyuriP/INFOMDA1-2022
Course collaboration and submission
KyuriP/KyuriP.github.io
This repository contains all files needed to build https://kyurip.github.io.
KyuriP/markup2020
Course collaboration for 202000010
KyuriP/markup2022
Course collaboration for the markup languages and reproducible programming in statistics course
KyuriP/Markup_manuscript
This repository contains the manuscript 'Discovering cyclic causal models in psychological research'.
KyuriP/mHMMbayes
R package: multilevel hidden Markov models using Bayesian estimation
KyuriP/mice
Multivariate Imputation by Chained Equations
KyuriP/microbenchmark
Infrastructure to accurately measure and compare the execution time of R expressions
KyuriP/MLM
Repository for the Multilevel Modeling course 2022 @ Utrecht University
KyuriP/Network-analysis
Network Analysis course 2022 @ University of Amsterdam
KyuriP/NetworkComparisonTest
Statistical comparison of two networks with respect to three invariance measures
KyuriP/Psychometrics
Pyschometrics 2022 @ Utrecht University
KyuriP/Pydash
KyuriP/qgraph
Developmental version of qgraph
KyuriP/shap-values
Shap values for model interpretation
KyuriP/Shinyapp_chat
A Shiny app for the chat data analysis (2022) available at: https://kyurheep.shinyapps.io/Shinyapp_chat/
KyuriP/slv
KyuriP/synthesis
KyuriP/Text-mining-practical
Practicals for the Data Wrangling course @ Utrecht University