Lixiong Yang's repositories
DoubleMachineLearning
R codes for double machine learning proposed by Chernozhukov et al. (2018, Econometrics Journal)
An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning
awesome
Awesome resources on Bioinformatics, data science, machine learning, programming language (Python, Golang, R, Perl) and miscellaneous stuff.
BDA_course_Aalto
Bayesian Data Analysis course at Aalto
BDA_R_demos
Bayesian Data Analysis demos for R
ClusterR
Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering
did
Difference in Differences with Multiple Periods
errata-of-econometrics
勘误表。《计量经济学-基于stata应用》，清华大学出版社，2024,01.杨利雄
FinancialsR
Extract and tidy SEC corporate financial data for analysis
leetcode
推荐刷题网站：https://www.lintcode.com/?utm_source=tf-github-lucifer2022 LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
MaternSpatialModel-Simulations
R Scripts for the simulation examples included in original research manuscript by Saqlain, Rönnegård, Alam, and Skarin
midasml
midasml package is dedicated to run predictive high-dimensional mixed data sampling models
midasr
R package for mixed frequency time series data analysis.
modelselection
Tutorial on model assessment, model selection and inference after model selection
panelGMM
General Method of Moments estimators for panel data in R
QregBB
Block bootstrap methods for quantile regression in time series
rassta
R package for landscape stratification, sampling, and modeling of environmental phenomena using spatial data in R.
spaddinf
Statistical inference in sparse high-dimensional additive models
SpatialNLS
Spatial lag and spatial error models via NLS
spatialprobit
:exclamation: This is a read-only mirror of the CRAN R package repository. spatialprobit — Spatial Probit Models. Homepage: https://www.r-project.org
spikeSlabGAM
R-package: Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive mixed regression models via stochastic search variable selection with spike-and-slab priors.
spldv
Estimation of spatial model with limited dependent variables
spmoran
spmoran: An R package for spatial regression modeling
Stochastic-Volatility-Models
R Code to accompany "A Note on Efficient Fitting of Stochastic Volatility Models"
textTinyR
Text Processing for Small or Big Data Files in R