Owain  gaunders (Owain-S)

Owain-S

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Owain  gaunders's repositories

2019-nCoV_graph_model

a graph model to predict the spreading of 2019-nCoV

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a-new-english-reading-handbook

《新编英语阅读手册》叶永昌(主编)

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Causal-Inference-for-Beginning-Undergraduates

An introductory course on causal inference. Designed for undergraduate students with only a working knowledge of R and multiple regression. Light on maths, heavy on intuition and practical examples.

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dataviz

Course materials for Kieran Healy's rstudio::conf 2020 data visualization workshop

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DBDAnimble

Examples from Kruschke's "Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan" converted to NIMBLE

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dl-keras-tf

rstudio::conf(2020) deep learning workshop

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EpiDynamics

An R package with Dynamic Models of infectious diseases

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epimdr

R package for "Epidemics: Models and data using R"

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GGplot-Shiny

Shiny Interface to GGplot

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hex-stickers

🗃 Hex stickers for my R pkgs

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ICPSR_PDSaDM_2019

ICPSR Short Course: Practical Data Science and Data Management (Summer 2019)

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js-for-shiny

:zap: JavaScript for Shiny Users :sparkles:

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LearningBayes

An introduction to Bayesian statistics

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lib-pku.github.io

北京大学课程资料整理

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MachineLearningNotes

My personal notes

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nphsim

Simulation and power calculations for time-to-event trials

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public-speaking-with-meaning

《我也有话要说》—— 普通人的当众讲话技能

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purrr-tutorial

Materials for getting to the know the R package purrr

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r-data-practice

R语言数据操作练习

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r-shiny-electron-app

:memo: Guide to desktop app creation using R Shiny and Electron

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R4psychology

Here's a common thought: "I want to use R in my research, but online courses and tutorials take too long to teach me what I need to know." I get that, so my goal for this 3-hour workshop is to teach folks enough R to be dangerous: They can use R in their research *that same day*. To do this, we have to skip standard introductions to "base R" and re

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readingpapers

A guide to reading scientific papers

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RSGHB

Functions for Hierarchical Bayesian Estimation: A Flexible Approach

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RStartHere

A guide to some of the most useful R Packages that we know about

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Survival-analysis-in-R

Coursera: Survival analysis in R for public health - Alex Bottle (Imperial College London)

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survival_workshop

Survival analysis workshop using R

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TimeSeries

Implementation of deep learning models for time series in PyTorch.

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Wishlist-for-R

Features and tweaks to R that I and others would love to see - feel free to add yours!

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