syzoekao

NonBreastCancerMortality_by_Race

SHM-risk-among-DCIS-survivors

codes for npj breast paper

nhl

A Python 3 API for NHL game and player stats

nba_api

An API Client package to access the APIs for NBA.com

ccostr

An R package, ccostr, which calculates estimates of mean cost given censored data

merTools

Convenience functions for working with merMod objects from lme4

causal_mrp_public

Github repository for causal MRP paper

global-covid-yll

Global years lost of life lost to COVID-19

prediction

Tidy, Type-Safe 'prediction()' Methods

Taiwan-COVID-19

Analysis and visualization of Taiwan’s COVID-19 data

baad

Codes for publication "Bayesian aggregation of average data: An application in drug development"

jtools

Tools for summarizing/visualizing regressions and other helpful stuff

atsa

Applied Time Series Analysis - course website repository.

modmarg

Calculating Marginal Effects and Levels with Errors Using the Delta Method

pscl

Political Science Computational Laboratory

meps_r_pkg

MEPS

This repository provides example code for loading and analyzing data from AHRQ's Medical Expenditure Panel Survey (MEPS). More information about the survey and access to public use data files is available on our website

devguide

The Python developer's guide

covid_adjusted_cfr

covidseir

Bayesian SEIR model to estimate the effects of social-distancing on COVID-19

Modelling_Covid19

Work in progress. This repository contains items related to research throughout my dissertation at the University of Manchester, which aims to model the spread of the coronavirus. Items include Stan models in R, and Jupyter notebooks to visualise results.

seir-covid19

distancing-impact-covid19

Model and preprint estimating impact of physical distancing measures

BayesianCOVID19

Bayesian modeling of COVID-19 epidemiology

covid19-forecast-hub

Projections of COVID-19, in standardized format

Amua

An open source modeling framework

bookdown-demo

A minimal book example using bookdown

sampling-study

Just a demonstration of some sampling techniques (rejection sampling, importance sampling, sampling importance resampling, Metropolis sampling, Gibbs sampling) on a single toy problem.

python-celery-monte-carlo-chords

https://www.distributedpython.com/2018/06/26/celery-monte-carlo

abcpmc

Approximate Bayesian Computation Population Monte Carlo