sachaepskamp Goto Github PK
Name: Sacha Epskamp
Type: User
Company: National University of Singapore
Location: Singapore
Name: Sacha Epskamp
Type: User
Company: National University of Singapore
Location: Singapore
Package for creating co-author networks based on web of science input
GGM samplers using Bayesian LASSO
Bootstrap methods for various network estimation routines
Ising model estimation via Elastic Net and k-fold crossvalidation
An R package for Idiographic network comparison
This network estimation procedure combines l1-regularized logistic regression with model selection based on the Extended Bayesian Information Criterion to identify relevant symptom-symptom relationships. These relationships define connections in a network.
Sampling methods and distribution functions for the Ising model
JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS
This is an unofficial package aimed at automating the import of LISREL output in R. This package or its maintainer is not in any way affiliated with the creators of LISREL and SSI, Inc.
Latent variable network models
Estimation of Time-Varying k-order Mixed Graphical Models
Latent VAR
MUltivaRiate MUlti-level Regression
Fitting VAR models on panel and time-series data using OpenMx
Statistical comparison of two networks with respect to three invariance measures
Parallel simulator function for R
R package to compute polychoric covariances in multiple groups.
An R package for Network Psychometrics
Automatic network analysis of psychological data
Developmental version of qgraph
Collection of Latent Growth Curve model wrappers for RIVM
Analyse citation data from Google Scholar
Code examples for Structural Equation Models using various software packages
Path diagrams and visual analysis of various SEM packages' output
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.