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:exclamation: This is a read-only mirror of the CRAN R package repository. abmR — Agent-Based Models in R
ARDL, ECM and Bounds-Test for Cointegration
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R code for paper 'Bayesian model selection for unit root testing with multiple structural breaks'
Bayesian Estimation of Markov-Switching VARs for Granger Causal Inference in R
BayesTools R package for simplifying the development of Bayesian analyses and model-averaging
Bayesian Multivariate GARCH
Bank of England Chart Themes and Styles for 'ggplot2'
Functions and replication files for Peter Phillips and Zhentao Shi (2021): "Boosting: Why You Can Use the HP Filter"
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
This repository contains an R implementation of the Beta seasonal autoregressive moving average (BSARMA) model (BAYER, CINTRA and CRIBARI-NETO, 2018).
Bayesian estimation of heteroskedastic Structural Vector Autoregressions with Markov-switching structural matrix
Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Allows for the computation of impulse responses and forecasts and provides functionality for assessing results.
BVARs
Replication code for Addressing COVID-19 Outliers in BVARs with Stochastic Volatility“ by Carriero, Clark, Marcellino and Mertens (2021), Work in Progress
replication code for „Forecasting with Shadow-Rate VARs“ by Carriero, Clark, Marcellino and Mertens
A repo of reproducible charts
High-frequency monetary policy shocks for China
Repository for the non-cointegration test by Bayer and Hanck
Structural analysis of High Dimensional Cointegration systems
Commodity price prediction using machine learning models compared to econometric autoregressive models.
Tools for processing time-series and working with mixed frequency data.
Using Network Analysis to Predict Debt Contagions
DebtRank is a measure of systemic risk in financial networks
Vector Autoregression augmented with deep learning.
R-package accompanying the paper "Approximate Factor Models for Functional Time Series"
Dynamic Factor Models for R
This repository summarizes the traditional and recently proposed estimators for the difference-in-differences specifications.
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.