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Last night, I read the 1st chapter of Statistical Rethinking: A Bayesian Course with Examples in R and Stan from Richard McElreath. I found this is nice book to share with my friends. The core idea of that chapter is the relationship between NULL hypothesis and statistical model. That is, should we trust the statistical models to reject the NULL hypothesis? It is a long history to use statistical models to figure out what is true?

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Last updated on 2 min read blog

R language could be easily used as a bash script using Rscript *.R. system() is a R base function which could run command line within R. Below is a simple example which allows to automate create a new blog post: (1) Ask users to type in filename, title and language (2) Create a new markdown file in specific directory (i.e. your local posts saved path) (3) Add some metadata in .

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Last updated on 2 min read blog

A brief introduction of using Network Model to visualize latent attributes’ hierarchy of Diagnostic Modeling.

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Last updated on 1 min read

See the handout and download the poster here.

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Last updated on 3 min read Plots

It is of my interest to use ggplot package to visualize some fun data. In this post, I tried to play with a Nobel Prizes Data including countries, prize year, each prize. The goal is to plot a cumulative traceplot of Liberty Nobel Prizes for top 10 countries. Load Packages tidyverse package include some very useful tools such as ggplot2, tidyr and dplyr. library(tidyverse) library(LaCroixColoR) library(ggthemes) library(ggimage) ggimage package was

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Skills

R

90%

Python

10%

Linux

10%

Statistics

100%

Education

90%

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Projects

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All DCM Other

Latent Network Diagnostic Classfication Model

A Proposed Model Embeding Networking Modeling with DCM

Posterior Predictive Model Checking for DCM

Model checking in Diagnostic Classification Models (DCM) is an underdeveloped area

Teaching

I am a teaching instructor for the following courses at University of Kansas:

  • EPSY 906: Latent Trait Measurement and Structural Equation Models

Contact

ORCID iD iconhttps://orcid.org/0000-0003-2820-3734